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. Experience in artificial intelligence or machine learning approaches applied to materials research will be considered a plus. We regret to inform that only shortlisted candidates will be notified. Hiring
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manipulation tasks. We are seeking candidates with a strong background in robotics and machine learning, and demonstrated experience in two or more of the following areas: deep learning, reinforcement learning
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 21 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with
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statistical physics, control theory, and where appropriate, machine learning and data-driven techniques. The position offers a structured career development path within an active and ambitious research group
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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able to teach in Swedish after two years. - A completed doctoral degree in Mechanical Engineering, preferably with a focus on additive manufacturing and/or material science, or equivalent scientific
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optimization or machine learning methods relevant to materials research. 4/2/2026
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technology and Windows software Effective communication and organizational skills Flexibility with daily work duties Ability to lift 30 pounds Additional Information The student assistant will help in a
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, ensure lab orderliness and safety, and stay abreast of industry-standard practices. The duties of the Adjunct Industrial Systems Technology Instructor include, but are not limited to: Teach good safety