133 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions at Harvard University
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Description The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI/ML engineering. The
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. Proficiency in electromyography (EMG) analysis and basic signal processing techniques. Strong programming skills in MATLAB or Python. Familiarity with IRB protocols, informed consent procedures, and human
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
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the Data Science Master’s program and the Area Chair in Computer Science based on need and candidate preference and expertise. Assignments will be taken from a set of courses in machine learning and data
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Environment Forum programming. Fellows will receive stipends of $70,000, medical insurance, additional research support of $2,500, and (for those not already in residence in Greater Boston) $1,500 in moving
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Native American Program, and in collaboration with regional and national Indigenous community partners, the fellow will assume mentored responsibility for: (1) advancing research projects, analyzing
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at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology, or related areas Hands-on experience with or a strong interest in bioinformatics programming, including
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to the breadth of resources and facilities available to members of Harvard University. For more information about the Kempner Institute Research Fellows program, please visit our website at www.harvard.edu/kempner
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of Research (2 pages): What research do you plan to pursue during the fellowship term? What do you plan to do at each stage, and what particular resources do you intend to use? What are the advantages