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algorithms, pangenome graphs, or population genetics Deep learning for sequence, EHR, or imaging data High-performance and GPU computing environments Excellent candidates from adjacent quantitative
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advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment
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development Programming in Python, R, MATLAB, or related scientific computing environments Reproducible research practices, including version control, high-performance computing, and open science
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
simulation. Desirable qualification include: * Experience with software development and/or high-performance computing. * Experience working with compiled programming languages (C, C++, Fortran
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and plant biology is an advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively in an interdisciplinary
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on high-performance computing infrastructure, and evaluation using objective metrics and subjective listening tests. Your network and team You will be supervised by Assistant Professor Lauri Juvela
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releases of software, trained models, and reproducible research outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance
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reference genomes, large WGS datasets and high‑performance computing, and collaborate closely with an RA responsible for lab work. The role includes opportunities for fieldwork in France, work with
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-science ) carries out research on chemistry and its applications at an international level and provides academic teaching based on high quality research. The Department of Computer Science is a
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-science ) carries out research on chemistry and its applications at an international level and provides academic teaching based on high quality research. The Department of Computer Science is a