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, machine learning, and data-driven modeling methods, physiology, transport, fluid and solid mechanics, systems analysis, circuit prototyping, technology transfer, and biomedical design practices, in
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Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department of Electromechanical, Systems
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visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Interaction Design and Software Engineering , we design
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science » Computer systems Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 May 2026 - 23:00 (Europe/Paris
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software development. E3 Experience in training deep learning models in research projects at scale. E4 Experience of applying good software engineering practices including but not limited to devising and
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vision foundation model capable of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives
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of experience are required for higher rank positions. Clearance Ability and willingness to obtain DoD security clearance is required. BS in Electrical Engineering or related field required; MS or PhD preferred. 7
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to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers two full-time project positions in the context
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learning for mathematics (e.g., model architectures for theorem proving, data-driven exploration of mathematical structures) Or experience in related areas and a passion for mathematical discovery We welcome
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across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will develop and deploy a self-supervised pre-training