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, this research will contribute importantly to the discovery of novel risk genes, steer basic research and drug development, and advance personalized medicine. The successful candidate will also help with assisting
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studies of human movement. Functions to be developed: Develop algorithms to analyze human movement tracking data. Capture movement with Xsens. Write research articles. Where to apply Website https
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
N_IHA-Administration Part Time 88035BR Job Summary Uses skills as a bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and
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models to specialized microscopy tasks and develop algorithms that align image level embeddings across modalities (e.g., fluorescence ↔ electron microscopy ↔ brightfield ↔ …). In collaboration with other
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, memory, timing, and cost are of main interest. The group members have expertise in a wide range of domains covering both hardware and software, including compilers, operating systems and algorithms
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• Produce research products such as well-documented algorithms and code, software, and research publications • Prepare results for publications, work with collaborators in writing publications, and, in some
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, coordination, and management of information and data, development and implementation of computer models and simulations, development of research materials (figures, presentations, papers, etc.) and work
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algorithms, and experimental systems research, and is closely connected to advanced-level teaching in computer systems and cybersecurity. About the research project This doctoral student position is part of a
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/08/2025 END: 31/12/2029 Centre of Principal Researcher: Faculty of Computer Science. Álvaro Leitao Rodríguez PURPOSE OF CONTRACT: Advanced Deep Learning algorithms for solving PDEs and SDEs in finance
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-modal”) neural + behavioral disease-state models. The purpose of the research project(s) this position supports: The purpose of the research supported by this position is to develop a computational