This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Shape the bright futures of Grand Canyon University students as an online adjunct faculty member for the online division in the College of Doctoral Studies, which offers programs tailored towards the interests of our students, including: - Doctor of Education in Organizational Leadership - Doctor of Business Administration - Doctor of Philosophy in General Psychology Specializations are offered that respond to the needs of a global society. As an adjunct faculty member, you’ll provide program instruction in an online format, incorporating innovative teaching methodologies, cutting-edge technologies and other industry trends reflecting advancements in your discipline. If you are highly motivated and passionate about teaching exceptional quality instruction, we’d like to hear from you. - Facilitate weekly main discussion forums to engage students in the online classroom - Adhere to weekly grading requirements, deadlines, and timeframes - Respond to students’ questions and emails within the established timeframes - Provide a positive example to students by supporting the University’s Doctrinal Statement, Ethical Position Statement, and Mission of Grand Canyon University Qualifications - Doctorate from a regionally accredited institution is required. - PhD Statistics OR Doctorate in a related discipline with 9 graduate credits in Statistics - Two of the following is preferred: - At least 3 years experience teaching graduate level statistics or research methods (qualitative or quantitative or and mixed) coursework. - At least 5 years of progressive professional experience using statistics or demonstrated expertise through scholarly research as an academic or professional researcher (minimum: project or program design and evaluation or secondary data analysis or primary data collection and analysis). - Demonstrated expertise through publications or related professional or dissertation committee experience. - Preference given to individuals with Scholarly publications/presentations. Company Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Darden is hiring research assistants for Summer 2026 who will report directly to Darden faculty or the Office of Research Services. This posting is for multiple positions. Work may include cleaning and parsing data, web scraping, and data documentation. Potential topics include marketing, the economy, leadership characteristics, entrepreneurship, and other topics relevant to faculty research initiatives. - Create data sets by researching publicly available information on companies or cities - Assist with preparation and storage of large datasets - Provide documentation on created datasets - Pull data from reports, the web, and other sources - Depending on position, work could include working with virtual machines and cloud platforms - Other duties as assigned Qualifications - Ability to read through multiple reports, mine public databases, and distill information into a database (excel spreadsheet or other formats) - Familiarity with big datasets - Experience with Python, Java, and/or SQL - Experience with data intelligence platforms, machine learning, or large language models for research preferred - Very strong written and verbal communication - Strong attention to detail - Able to work independently while balancing multiple projects - Willing to attack a problem from different angles when the first approach does not work - UVA undergraduate and graduate students are encouraged to apply - Position is open to students in business, accounting, economics, social sciences, humanities, statistics, math, computer science, data science, or other disciplines with strong programming and computational skills Requirements - Hourly pay rate depends on level of education - Students pursuing a 4-year degree: $16.00/hour - MA Degree: $22.00/hour - Ph.D. Degree: $25/hour - Positions offer 15-40 hours/week - Position is remote, but student must physically reside in the United States - This position is ONLY open to UVA students Benefits - Please include a resume and cover letter with your application Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings and programs. Company Description The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.

Overview The Computational Design (CD) group of the Artificial Intelligence Center (AIC) at SRI International is seeking a strong and enthusiastic Master’s or Ph.D. student in engineering, physical sciences, or computational sciences to join our team as a full time Research Intern for Summer 2026 with the potential to stay on after the summer (full or part time). Founded in 1966, AIC has played a key role in AI research since the development of Shakey the Robot in the early days of the field. The lab continues to push the boundaries in AI as it develops innovative technologies and explores their application across a range of domains. The lab has an outstanding track record of moving its research into the real world with successes such as Siri (developed originally on DARPA funding, subsequently acquired by Apple) and the BioCyc family of bioinformatics knowledge bases and tools which have been licensed by over 11,000 users. The CD group was founded in 2020 in the iconic Palo Alto Research Center (PARC) that merged with SRI in 2023. CD has been at the forefront of applying computational and AI methods to democratize design for heterogeneous constraints such as physics-based performance, manufacturing readiness, and supply chain resilience. The intern will work on an exciting ongoing project on design and digital manufacturing, particularly on re-design of engineering system components and systems for applications in military equipment. The ideal candidate will have significant experience with one of the following: generative design, machine learning (ML), approximation theory, applied geometry. This intern position will be able to work fully remotely. Responsibilities Responsibilities will include contributing to existing research projects through developing solutions and algorithms, implementing software code and databases, evaluating results, and contributing to conference presentations, journal publications, and invention disclosures. The Intern will contribute to the following technical areas: - Generative design and optimization workflows for engineering design applications - AI/ML, and other, methods to characterize, represent, modify and optimize representations of geometric objects Qualifications - Current Master’s or Ph.D. student in Mechanical Engineering, Physics, Applied Math, Computer Science, or related discipline - At least two years of academic research experience as an undergraduate or graduate student - Strong mathematical and computational foundations, especially geometric and physical modeling - Familiarity with optimization techniques, numerical analysis, and statistical learning (e.g., AI/ML) - Demonstrated experience in at least one programming language (e.g., Python or C++) and one ML model development framework (e.g., PyTorch, JAX, or TensorFlow) - Familiarity open-source libraries or commercial software APIs for physics-based numerical analysis, optimization, and AI/ML - Demonstrated experience with research-grade publications as a first author in high-quality peer-reviewed journals or conferences Desired skills: - A working knowledge of programming styles (e.g., object-oriented programming) and best practices to enable code readability and maintainability, version control and collaboration, testing and debugging, etc - Related industrial or entrepreneurial experience (including internships) - Experience with manufacturing and testing techniques - Independence in problem formulation and creativity in problem solving - Attention to detail and ability to manage multiple tasks simultaneously - Eagerness to learn new technologies and apply fundamental research to solve real-world pain-points - Strong organizational and interpersonal skills - Strong oral and written communication skills The salary range is: $30-$45/hr. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/. SRI will accept applications until the position is filled. SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.

Overview FWI is building a team to support CDC's Division of Cancer Prevention and Control in expanding the reach and impact of the Screen for Life: National Colorectal Cancer Action Campaign through strategic communications, media outreach, formative research, and performance evaluation. As a Research and Evaluation Specialist, you will lead formative research, audience analysis, and campaign performance measurement to ensure strategies are evidence-based and continuously optimized. FWI has been recognized as a Top Workplace by the Washington Post in 2024 and 2025, offering excellent growth opportunities in a collaborative environment. **Position is contingent upon contract award** Work Schedule and Location: Remote: This is a remote position requiring approximately 1,410 hours per year, averaging roughly 27 hours per week. Weekly hours may vary depending on campaign activity, media placement schedules, and deliverable deadlines. Work is performed Monday through Friday, with core availability required during 9:00 AM – 3:30 PM Eastern Time. Occasional travel may be required to support formative research activities. Responsibilities - Lead research, evaluation, and data analysis activities supporting campaign planning and performance measurement - Conduct environmental scans and audience analysis to inform campaign strategy and messaging - Perform formative research activities including literature reviews, analysis of relevant published research, and collection of qualitative insights from stakeholders and target audiences - Support the development of communication and marketing plans based on research findings and data-driven insights - Evaluate campaign performance through analysis of metrics including web analytics, social media engagement, and paid media performance data - Prepare monthly, quarterly, and annual metrics reports summarizing campaign performance across all channels and activities - Provide actionable recommendations for improving communication strategies, messaging effectiveness, and outreach impact - Collaborate with the Program Manager and Campaign and Media Manager to integrate research findings into campaign planning and execution Qualifications Required: - Bachelor's degree from an accredited institution (or equivalent years of professional experience in lieu of a degree) - Minimum of 4 years of experience in research, evaluation, data analysis, or a related field, preferably in public health, health communications, or social marketing - Demonstrated experience conducting formative research, environmental scans, and audience analysis - Proficiency in analyzing web analytics, social media metrics, and media performance data - Strong analytical, writing, and data visualization skills - Ability to translate complex data into clear, actionable recommendations Desired: - Master's degree in public health, communications, social science, marketing research, or a related field - Experience supporting research and evaluation for CDC or other federal public health campaigns - Familiarity with tools such as Google Analytics, social media analytics platforms, and survey research methodologies - Knowledge of cancer screening awareness and health behavior change research FWI is an Equal Opportunity Employer, including disability/vets. Why Join Our Team At FWI, we place the highest importance on creating an exceptional employee experience. You'll have opportunities to achieve your career aspirations through internal promotions, professional development, and other recognition and rewards programs. Join our team and take advantage of the many benefits we offer, including: - Health Insurance - Dental Insurance - Vision Insurance - Long-term and Short-term Disability Insurance - Life Insurance - 401(k) Plan - Holiday Pay - Paid Time Off Pay Range Negotiable