115 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:" positions at Harvard University
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organization skills Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Special
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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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collaboration and project management. ● Demonstrated programming proficiency in Python and strong scripting skills (Bash/shell). ● Hands-on experience with structure determination software supporting X-ray
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applications to teach in the Sophomore Tutorial program. Tutor positions are open to advanced graduate student and postdocs/PhD-level early career instructors with prior teaching experience. Sophomore Tutorial
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Qualifications: · Bachelor’s or Master’s in Engineering, Physics, Biology or related field. · Experience in biological imaging and image processing. · Ability to program. · Capable of organized, goal-motivated