• Develop algorithms combining deep learning, computational geometry, and medical imaging • Build and optimize 3D segmentation, modeling, and measurement pipelines for clinically relevant workflows • Design, train, and validate deep learning models and geometry-based methods for integration into a cloud-based healthcare platform • Collaborate with Product and Engineering teams to translate clinical and business needs into robust algorithm designs • Work with Clinical, Regulatory, and Quality teams to ensure compliance with medical software development standards • Continuously improve algorithm accuracy, robustness, and computational efficiency • Contribute to research activities and exploration of new methods in AI and medical imaging

Title: Math & Computer Science - Adjunct Position ClassificationAdjunct Employment TypePart-Time BenefitsPart-Time (Less than 30 hours) Not Benefitted DepartmentMath & Computer Science Summary Use appropriate teaching methods to facilitate student learning for Mathematic or Computer Science courses. Duties 1. Teach synchronous or asynchronous courses using current technology applicable to the discipline which may include face to face, online, and/or video-conferenced courses as needed. 2. Collaborate with Math and Computer Science faculty on course design and appropriately challenging coursework to help students realize their full potential as learners. 3. Ensure course content, activities, and assignments are established. Course content includes, but is not limited to, syllabus, course policies, video lectures, assignments and instructions, grading rubrics, etc. 4. Meet all designated course instruction guidelines, including but not limited to, posting weekly announcements with relevant information, monitoring/participating in discussions, grading student coursework within 72 hours of submission deadline, providing students timely and specific feedback, responding to student inquiries within 24 hours, maintaining weekly virtual office hours, and other requirements as established by the Math & Computer Sciences Department. 5. Maintain frequent and open communication with the Math & Computer Science Chair, faculty and staff through email, mail, telephone, and any other medium deemed appropriate. Be available at least once a semester to attend a virtual meeting with the Chair. 6. Submit mid-term and end of term grades by required deadline according to WNMU procedures. 7. Maintains a positive, safe, inclusive student-centric learning environment that supports success by enforcing WNMU policies to include student code of conduct policies, and those established by the Math & Computer Science Department and Office of Academic Affairs. 8. Models professional standards and ethics in accordance with WNMU and the Math & Computer Science Department mission and vision statements. 9. Performs other duties as assigned Education/Background A doctorate degree in mathematics with experience teaching mathematics courses such as number theory, linear algebra, discrete mathematics, abstract algebra, complex variables, and topology. Job Knowledge Teaching online courses. Teaching with technology, including the use of a graphing calculator, the use of a computer algebra system (such as Scientific Notebook, Maple, Matlab, or Mathematica), or the use of geometry software. Working with underprepared students in a small classroom environment. Experience in a supervisory position. Background in current evidence-based teaching strategies and innovative approaches to pedagogy will be an asset. Must be able to adapt to instructional needs of the department depending on circumstances. Must be knowledgeable of University policies and procedures. Must be able to handle multiple deadlines and maintain accuracy. Must be sensitive to cultural differences within the University and community. Fluent in Microsoft Office Applications. May be required to work additional hours or days depending on circumstances. Working Conditions/ Physical Demands (With or Without Accommodations) Normal office, may travel some within the community when needed. May be required to transport normal office equipment and materials. Ability to comprehend and work with a variety of information from various sources. Able to clearly communicate with a diverse population of individuals. Ability to compose correspondence and reports and remain in a sedentary position for prolonged periods of time. May be required to work additional hours or days depending on circumstances. Other Requirements LocationRemote Length of Contract9 Months Salary RangePer Credit by Rank: Instructor $910, Assistant Professor $963, Associate Professor $1,017, Professor $1,070

Role Description TXT e-Tech, a company of the TXT Group, is looking for a Perception & Sensor Fusion Engineer to be involved in Aerospace activities for a major client in the sector. The resource will work on advanced perception solutions, focusing on multimodal sensor fusion algorithms and contributing to the development of robust 3D environment representations using heterogeneous sensor data. - Data preprocessing and sensor conditioning, including temporal alignment, calibration, noise reduction and outlier handling - Development of multimodal sensor fusion algorithms integrating data from EO/IR, LiDAR, Radar, IMU and GPS - Design and optimization of advanced perception architectures (object detection, multi-target tracking, segmentation) - Development and optimization of models using Computer Vision, Signal Processing and Machine Learning techniques - Collaboration with hardware and software teams for integration into complex embedded systems - Validation of perception algorithms through high-fidelity simulations and real-world testing (flight/ground tests) - Contribution to ML-Ops activities, including pipeline management and use of High Performance Computing platforms Qualifications - Experience with Data Association algorithms and Multiple Object Tracking (MOT) - Proficiency in 3D point cloud processing (e.g. PCL, Open3D or similar) - In-depth knowledge of sensors (LiDAR, Radar, cameras, IMU, GPS) and their physical principles and data structures - Hands-on experience with PyTorch for perception model development - Strong programming skills in C and C++ - Good knowledge of scripting languages (Python) Requirements - Master's degree in Robotics Engineering, Mechatronics Engineering, Aerospace Engineering, Electronic Engineering, Computer Science or related fields - 3-5 years of experience Benefits - Career opportunities in a rapidly growing company - Opportunity to gain experience in an international, young, and dynamic environment - Corporate Benefits (health insurance, welfare, meal vouchers, employee discounts) - Permanent contract - The compensation package for this role ranges from EUR 32,000 to EUR 37,000 gross per year

• Support the development and optimization of computer vision models to enhance our product features. • Write clean, efficient Python code using modern frameworks such as PyTorch (and TensorFlow where relevant) for model training, inference, and deployment. • Assist with integrating computer vision solutions into existing systems and workflows. • Stay curious about the latest advancements in computer vision, large language models (LLMs), and multimodal AI, and share fresh ideas with the team. • Participate in code reviews, stand-ups, and team discussions to build strong engineering practices. • Contribute to research experiments and help translate promising ideas into practical prototypes. • Collaborate with cross-functional teams (engineering, product, data) in an agile setting.