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statistical analysis and/or machine-learning methods Knowledge of protein structure, structural bioinformatics, or molecular interactions; experience with GPCRs or membrane proteins is an advantage A
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cells and application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
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Max Planck Institute for Biology of Ageing, Cologne | Cologne, Minnesota | United States | 2 months ago
Fully funded PhD positions Young Researchers Cologne Developmental and Evolutionary Biology & Genetics Structural and Cell Biology Job Offer from August 11, 2026 The Cologne Graduate School of Ageing
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and structural biology, translating de novo designs into experimentally tested candidates in close collaboration with expert wet-lab researchers. The position offers a strong platform for building an
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structural determination by NMR and X-ray crystallography structural bioinformatics, molecular modelling drug receptors, molecular pharmacology nuclear genomic architecture mechanisms of intracellular
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden-Württemberg | Germany | 20 days ago
Research Center (DKFZ) with its core site in Heidelberg invites international students holding a Master’s degree in biology, chemistry, physics, bioinformatics, computer science, epidemiology/public
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immunology, viral ecology, clinical virology, virus epidemiology, mathematical modelling and bioinformatics. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time
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different omics technologies in natural product research. We wish for knowledge and qualifications within Genome-mining and metabolomics analysis of bioactive microorganisms Isolation and structural
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and standardized methods to link structural, mechanical and biological properties to biomaterial performance and tissue reconstruction. The PhD candidate will work with multimodal datasets from