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PhD qualification and significant experience in transdisciplinary or engaged research on societal transitions involving multiple actors, preferably in the marine sciences. Extensive competence and
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for the research include advanced applied computational methods development, theory, NeuroAI, and motor control. Duties include developing neural network models which emulate the mechanisms at play among the brain
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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning
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Description of the workplace Lund University, Department of Energy Sciences is a leading center for research in energy, fluid mechanics, and sustainability. The Division of Fluid Mechanics within
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ceramics, leading to incorporation into robust nuclear performance codes for nuclear reactors. Candidate will perform/analyze mechanical testing of irradiated ceramics, finite element computations, 3D
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, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks
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to plasticity. (assessed at: application/interview) Experience in computational mechanics, especially numerical methods for solving field equations relevant to material mechanics, i.e., Finite Element schemes
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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Department of Mechanical Engineering and the AI research group at the Vrije Universiteit Brussel (VUB) are looking for a PhD candidate to contribute to research on the optimization of a hybrid, laser-based
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aligned with agency-specific guidelines, ensuring compliance, technical accuracy, and strategic positioning for commercialization. Essential Duties: Monitors projects, program evaluation, and development