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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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or MD‑PhD in a relevant field (e.g., Biochemistry, Molecular Biology, Genetics, Systems Biology, Bioengineering, Computational Biology, Biomedical Data Science). Strong publication record for your career
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influence the adaptability and evolvability of diploids and polyploids. Your profile You have a PhD in Computational Biology, Evolutionary Biology, (Bio)Engineering, Mathematics or Physics. You have expertise
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participating in the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will
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preparing results for publication. Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, data science, computer science, bioengineering, physics, or a related field. A strong publication
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to evaluate algorithms on those benchmarks. Contributing to writing papers and review of the current literature. Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS: A PhD in biomedical sciences
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expertise. Individuals should have or be expected to have a PhD with appropriate research experience in computer science, computational biology, biological or chemical engineering, chemistry, biochemistry
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, and frequency noise measurements. Applicants should have a PhD in physics, electrical engineering, or related fields. US Citizenship is preferred. Interested candidates are encouraged to send a CV to
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have or be expected to have a PhD with appropriate research experience in computer science, computational biology, biological or chemical engineering, chemistry, biochemistry, or a related field
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fields: cell cycle control and protein degradation by the ubiquitin-proteasome system. Our work focuses on both tumorigenesis and normal biology, and our overall goal is to apply new mechanistic insights