1,468 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:" Postdoctoral positions
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The College of Arts & Sciences at the University of San Diego seeks to hire three faculty members for its teaching postdoctoral program. We are committed to the development of teacher-scholars who
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real world health data assets, including data on wider determinants of health e.g. climate. As well as analyse data following pre-specified analysis plan/s and/or approved protocols. In this position you
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expertise in deep learning and representation learning applied to biological data, experience with large-scale multi-omics datasets (such as single-cell and proteomics), and strong programming skills in
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. Strong quantitative skills (e.g., econometrics, optimization, I/O table, CGE, simulation modeling) and solid programming experience (e.g., Python/R/Matlab/C). Preferred (optional): familiarity with machine
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in high content microscopy and image analysis programs. Familiarity preparing material for single-cell sequencing, comfort working with large data sets. Working knowledge of statistics, proficiency
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language) A varied work schedule, with significant autonomy over how you plan your day Starting date is negotiable, as soon as possible Various training opportunities to broaden your skills How to apply
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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: Independently plan, design, and execute biomedical research experiments related to hemostasis, thrombosis, inflammation, and cardiovascular diseases. Prepare high-quality abstracts, manuscripts for publication
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School offers undergraduate majors in computer science, information systems, data science and software development within its flagship Bachelor of Advanced Computing degree and combined degree programs
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at the molecular level. A notable discovery from the lab is that the BRD4-NUT fusion oncoprotein dysregulates DNA folding to activate oncogenic transcriptional programs. The lab has published in journals including