178 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at Harvard University
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students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding of molecular biology and next
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and Training Programme , researchers need to be nationals or long-term residents of an EU Member State or a Euratom Associated Country. The beneficiary organisation recruiting the researcher also needs
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position
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Qualifications Ph.D. or M.D./Ph.D. in areas such as bioengineering, biochemistry, cell or computational biology or related fields Additional Qualifications CV Research summary of PhD work Cover letter describing
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. Some areas of particular interest include: genetics, evolutionary biology, neurobiology, developmental biology, and stem cell biology. Our lab uses both experimental and computational approaches
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and professional development funding will be available. The aim of this program is to expand the pool of talented academic leaders equipped to conduct research that advances health equity using
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of this program is to expand the pool of talented academic leaders equipped to conduct research that advances health equity using the frames of social medicine. Fellows will be mentored to pursue the next phase of
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral