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records, give presentations, and prepare reports and publications. Required Qualifications PhD (or analogue) and substantial knowledge of human and/or animal reproductive physiology. Significant experience
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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hold a PhD in Biology (evolutionary, or molecular/cell) or a related field (e.g., biochemistry). Applicants should have experience in wet-lab methods (e.g., PCR, molecular cloning, microbiology, protein
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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techniques, mouse models, human specimens, and bioinformatics. We are looking for applicants with wet lab immunology research experience driving the successful completion of projects and authoring peer
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imaging is also required. However, experience with bioinformatics or computational tools for biology is highly recommended but not required. This position provides an opportunity to lead and run experiments
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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postdoctoral associate with expertise in computational biology and/or bioinformatics to join our interdisciplinary group studying the functional genomics of tandem repeat expansions and related structural
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publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science.Term of appointment is based on rank. Positions
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write manuscripts and present research work at scientific conferences. Credentials and Qualifications: PhD in Biostatistics/Bioinformatics, Data Science, Computer Science, Genetics or related field