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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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generate data utilizing advanced instrumentation/techniques, flow cytometry, confocal imaging, live animal IVIS, and CT-PET machines. Designs in vitro and in vivo (murine model) experiments. Record and
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research, public engagement, and impact. Fellows are additionally supported by Cornell's Office of Postdoctoral Affairs . Please visit https://www.atkinson.cornell.edu/cornell-atkinson-postdocs-rfp
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community partners to ensure outputs reflect local priorities and inform adaptation planning. Duties may include: Develop spatially explicit computational models using machine learning, hydrologic, and energy
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School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools Although we can accommodate some home working within this role, this is an embedded role that will require substantial in
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, morphodynamic, and landscape evolution models. Field experience in geomorphological and hydrological surveys, including the use echosounders and Acoustic Equipment Use of personal computer and proficiency in
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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow To design and advance
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and genuine partnership working. For more information on Peninsula Medical School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools Due to the nature of the role, unfortunately we
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data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web-tool development Present