469 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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of Washington. Qualifications MINIMUM QUALIFICATIONS: Applicants should have a Ph.D. in statistics, biostatistics, bioinformatics (or related fields). Strong skills in applied statistical methods development
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of Pathology The Shields laboratory investigates the mechanisms of development and progression of diseases impacting the exocrine pancreas, such as pancreatitis and pancreatic cancer. Chronic pancreatitis is a
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the development and progression of kidney disease. The laboratory of Dr. Sandeep Mallipattu in the Division of Nephrology, Department of Medicine at Stony Brook University School of Medicine is seeking highly
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development, (4) student mentorship, (5) statistical inference with astronomical data, including AI/ML tools, and/or (6) experience working in large collaborations. Brief Description of Duties: The Postdoctoral
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the gut microbiome’s role in immune tolerance development. Our lab integrates multi-omics microbiome analyses, microbial genetics, experimental models, and clinical cohorts to investigate mechanisms by
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, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance
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, 2025. Two or more years of research experience in the following areas * Drug development. * Pharmacokinetics and Pharmacodynamics. * Protein structure analysis. Preferred Qualifications: Two or more
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infrastructure for research and career development. We are seeking highly skilled and motivated scientists with expertise in cell and molecular biology, biochemistry, immunology experience with macrophage and NK
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participation in professional development opportunities and university shared governance . These valuable contributions to university shared governance provide important representation and perspective, along
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development. * Implementing computationally intensive algorithms on high-performance computational clusters. * Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target