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detection (vision, force, voice), contribute to real-time control software and remote monitoring interface development, and oversee data collection during clinical user trials. They will work closely with a
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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software such as recommendation systems, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers
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detection (vision, force, voice), contribute to real-time control software and remote monitoring interface development, and oversee data collection during clinical user trials. They will work closely with a
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biologists, statisticians, software engineers and molecular biologists. You will be embedded within the “Mitigating Gram-negative infections” theme in our Health Protection Research Unit in Healthcare
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data using statistical software. • Contribute to the preparation of reports and presentations. • Assist with the preparation of papers for publication and make presentations at meetings and/or
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Multiphysics software (COMSOL and/or Abaqus), python/matlab coding and Molecular Dynamics Simulator (LAMMPs). 4. Publications in mechanical metamaterials, soft robotics, or related area in peer-reviewed
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doctoral level qualification in a relevant area and evidence of continuous professional development. Proficiency in the use of proprietary software such as ANSYS, ASPEN, CONVERGE, AVL and COMSOL. Significant
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of galaxy formation, particularly from the COLIBRE project Develop software for the analysis of simulation data Contribute to further developments of the COLIBRE code This post is fixed term for 12 months
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hub sites, Aarhus University (AU), University of Copenhagen (UC) and University of Oxford (UO). A key output from SMARTbiomed research is software for use by the research community. The appointee will