70 parallel-programming-"https:"-"CEA-Paris-Saclay" Fellowship positions at Indiana University
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develop both high-throughput and gene-specific approaches for determining the functional consequences of human genetic variation. Current and developing projects include massively parallel splicing
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development, instrumentation, or quantitative biomedical research Strong programming and data-analysis skills in MATLAB and/or Python Demonstrated ability to independently design experiments, troubleshoot
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quantitative evidence to inform national and international public health policy. For more information, visit our GitHub page at https://ceph-lab.github.io . Located on the flagship campus of the
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: https://faculty.medicine.iu.edu/relocation The search will continue until the positions are filled. Basic Qualifications Completed PhD in biostatistics, statistics, or a related discipline Prior
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skills; background in cardiac development, developmental programming, metabolic models, or next-generation sequencing is preferred, and candidates from adjacent fields with a clear interest in learning
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); write technical publications. Basic Qualifications Ph.D. or equivalent terminal degree in quantitative, computational, or biomedical discipline. Programming proficiency in Python, Julia, R, or MATLAB
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related quantitative discipline. Strong quantitative, computational, and programming skills. Excellent written and verbal communication skills. Demonstrated ability to work both independently and
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Experience in bioinformatics, computational biology, or related fields. Familiarity with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of
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communication skills. · The ability and interest to work both independently and collaboratively within a research group. · Strong scientific programming skills. Research Proposal As part of the application
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and optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics