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‑EM (Rogala Lab, Stanford) — https://rogala.stanford.edu (link is external) . Rogala Lab is a part of Stanford’s Department of Structural Biology (link is external) , the Department of Chemical
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate in Computational Structural Evolutionary Biology Department Quantitative Biomedicine Inst Salary Details 63,968
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: Biomedicine and Pharmacology Developmental and Regenerative Biology Genomics, Proteomics and Bioinformatics Metabolism and Physiology Molecular and Cellular Biology Neuroscience Computational Structural Biology
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are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of synthetic genomics and synthetic biology, as
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. Familiarity with molecular and chemical biology techniques and specific skills in assay development, enzyme kinetics, DNA library generation, structural biology, organic synthesis, high-throughput screening
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on relevant program of the current Faculty of Science and Technology (FST) and Faculty of Health Sciences (FHS). The new Faculty will include the Department of Biological Science, Department of Chemistry
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Institut de Chimie des Milieux et Matériaux de Poitiers | Poitiers, Poitou Charentes | France | 4 days ago
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of Chemistry of Materials and Environments
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3 Apr 2026 - 08:03 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Postdoctoral Positions: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and Human Genetics
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multidisciplinary and dynamic research team utilizes state-of-the-art structural biology, biochemistry, cell biology, and biophysical techniques to explore the molecular basis of cell signaling across biological