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these areas Your profile Excited to bring biology into the agentic era Broad interest across biological domains is a must PhD in computational biology, computer engineering, computer science, (bio
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PhD/Postdoc in In Vivo CRISPR Screening (Dry and/or Wet Lab) Ghent VIB Center for AI & Computational Biology PhD/Post-doctoral Posted Date 19 Oct 2026 Locations Ghent Center VIB Center for AI
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should have a Ph.D. in a relevant quantitative field (e.g. computer science, Bioinformatics, Statistics, Computational Biology, Statistical Genetics), a strong background in machine learning or
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positions, directly supported by TEMPEST, a new National Science Foundation Science and Technology Center, led by Prof. Michael S. Murillo at MSU: https://tempest-stc.msu.edu The successful candidates will
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, computational biology, biostatistics, pharmacogenomics, biomedical engineering, health data science, or a related discipline Experience 1. Demonstrated research experience in one or more of the
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AI, neuroscience, and human health. Required Qualifications: A Ph.D. in computer science, computational neuroscience, biomedical engineering, electrical engineering, cognitive science, applied
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pharmaceutical data science education with a focus on Computational Writing. The 2-year position involves educational research in an emerging field that synthesises expertise in pharmaceutical
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 18 hours ago
biostatistics, statistics, computer science, computational biology, or related quantitative discipline. Have published a 1st author paper from PhD dissertation or postdoctoral research Core Skills
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research results as well as actionable insights. Candidates may come from cognitive science, psychology, computer science, computational social science, consumer research, behavioural economics, complexity
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Mathjobs.org | about 1 month ago
Position Overview: Successful candidates will join Roy Lederman's research group, which is affiliated with the Department of Statistics and Data Science (S&DS) and the Quantitative Biology Institute