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Field
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, care and support. However, one of the barriers to adoption is how to achieve safe and trusted contact support for robots who are physically interacting with people in collaborative and assistive roles
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projects Designing for complex or high-consequence systems Human-centred product, service, or interaction design in healthcare, defence, or critical infrastructure Applied human-computer interaction or
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Faculty Professor Research Assistant - Full-Time Med-Immunology - Pennsylvania-Pittsburgh - (25002333) The Department of Immunology at the University of Pittsburgh School of Medicine is seeking
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requested after the interview. We welcome your application no later than August 31, 2025 For questions, please contact: Assistant Professor Gregor Lasser, MC2, gregor.lasser@chalmers.se, 031-772-4635
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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) or a “challenge response” (which the body can handle better). Understanding this could help explain why stigmatized groups often face higher rates of illness. To do this, the project brings together two
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for interoperable messaging that inform future innovations and policy Applicants must have a Master’s degree in computer science, human-computer interaction, or a closely related field. Due to the project's focus
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Professor, Assistant Professor, or Associate Professor. This position is research intensive and is intended for an individual who will develop and maintain a federally funded, independent research program in
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Previous Job Job Title Research Assistant Professor of Biomedical Engineering – Neurodegeneration Focus Next Job Apply for Job Job ID 368288 Location Twin Cities Job Family Academic Full/Part Time
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encoding in neuromorphic computing devices based on ensembles of interacting nanomagnets. By the end of the project, we aim to create a multilayer device capable of low-power input of spatio-temporal