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of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD in physics or engineering sciences. He/she should have an experimental profile and demonstrate a strong
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have a PhD in psychology, cognitive neuroscience or a
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data
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the field of glioma. The current project is interrogating the role of ATRX in immunotherapy response using murine and cell line models, including genetically engineered lung cancer model. Cell line model
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, machine learning, etc. Building a quantum computer requires a multi-disciplinary effort involving experimental and theoretical physicists, electrical and microwave engineers, computer scientists, software
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optimization in distributed systems. The work also involves modern compiler infrastructures, with emphasis on MLIR, and contributions to LLVM and the OpenMP standard. Applicants must hold a PhD in Computer
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Massachusetts Institute of Technology, MIT Sloan School of Management - BPS Position ID: Massachusetts Institute of Technology-MIT Sloan School of Management - BPS-PDF [#31843] Position Title
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This project is a collaboration with the Centre for Renewable Energy Solar Technology (CREST) at Loughborough, who are experts in thin-film solar cell fabrication and advanced characterisation
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the functional diversification of synapses in defined neural circuits. In this project, you will use an array of approaches, including CRISPR/Cas9 genome editing, viral vector technology, and quantitative super