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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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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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optimization or machine learning methods relevant to materials research. 4/2/2026
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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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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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(e.g. CAR-T, CAR-NK, engineered antigen-presenting cells, CRISPR-based editing) In vivo immune cell programming and synthetic regulatory circuits High-throughput transcription factor/CRISPR screens in
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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
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engineering, or another related field Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used