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applications Human-centric and sensing-enabled mechanical systems Strong background in computational modeling and analysis, including finite element analysis (FEA), multiphysics simulations, and data-driven
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researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant, HiPPo (Smart Fibre optic High-power
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher -- Scientific Machine Learning (NESAP) to join the Workflow Readiness team as part of NERSC's
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of final year projects (FYP) or capstone projects students under the Project PI. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope
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. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the
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of Manchester and Imperial College. This role involves computational modelling and experimental data analysis, integrating mathematical models of clock neurons and populations with in-vitro and in-vivo
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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Details Title Postdoctoral Fellow in Soft Robotics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description The Wood Lab is seeking a postdoctoral fellow to explore new methods for embodied intelligence in soft and reconfigurable...