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and sensor systems for remote maintenance and reliable fusion operations. Artificial Intelligence Developing advanced artificial intelligence/machine learning (AI/ML) solutions for fusion science and
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(faculty, students, staff) operating machines and tools for independent research or educational purposes: -Organize and deliver instructional classes for new users of the SEAS machine shop -Instruct users in
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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flexible and resourceful; adaptable to changing needs and demands Maintain confidentiality; exercise discretion Must have excellent computer skills. Proficiency in Microsoft applications, including Word
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: 278629549 Position: Assistant Professor of Electrical and Computer Engineering Description: The Department of Electrical and Computer Engineering seeks applications for faculty positions at the assistant
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supply tank etc. Communicate and coordinate with the supervisor. Maintains inventory and records of chemical usage. 5%- Inspection: Inspection: Inspects operating machines and equipment for conformance
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-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning
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(i.e. machine learning, neural nets, LLMs). Prepare results and design figures for reports and presentations. Manage and manipulate data using requested languages, including Python, R, MATLAB, and STATA
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, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, additive manufacturing, extended reality (XR
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circuit design, the development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and