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Field
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validations. What we are looking for PhD (or MSc with research experience) in AI, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as
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. You will work very closely together with your dry-lab colleagues for the design of synthetic promoters and data analysis. What we are looking for PhD in (Plant) Biotechnology, Molecular Biology
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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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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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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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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education PhD in statistics, biostatistics, epidemiology, bioinformatics, data science, computer
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. Department Specific Qualifications Education: PhD in biostatistics, statistics, bioinformatics, computational biology, or a closely related quantitative field awarded within the last five years. Experience
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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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publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science.Term of appointment is based on rank. Positions