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have experience developing and running large numerical models and analysing complex datasets? Would you like to work with a world-leading team at Leeds to connect molecular-scale insight to cloud-scale
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molecular docking, molecular dynamics and free-energy methods (MD/FEP), machine learning for molecular design, and protein–ligand modelling. Experience bridging computational and experimental groups, and the
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to staff position within a Research Infrastructure? No Offer Description Activities: The Laboratory of Molecular Cancer Research (LIMC), coordinated by Prof. Dr. Debora Zuccari, from the Faculty
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tools”, funded by the “National Apiculture Program 2023-2027”, under the following conditions: 1. Scientific Area: Bioinformatics, Population Genetics and Molecular Modeling 2. Admission Requirements
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details https://jobs.uni-graz.at/en/jobs/88ceb948-bca4-1472-7736-69d7ab5a1495 Work Location(s) Number of offers available1Company/InstituteDepartment of Molecular BiosciencesCountryAustriaCityGrazPostal
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number: DF03144. Field of expertise: Condensed Matter Physics. Department: Physics. Research profile: Experimentation and modeling (MD and DFT) applied to atomic and molecular electronics. Language
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to impact patients. The successful candidate will use state-of- the-art models and approaches, including patient-derived organoids, in vivo models, and molecular and functional analyses. If your dream is to
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Reports 2022 10.1016/j.celrep.2022.111511 ) The ideal candidate should have a Ph.D. in cancer biology/immunology/molecular biology or a relevant field with a strong background in cell culture, mouse models
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200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.uu.se/en/department/cell-and-molecular-biology . This position is based in Johan Elf’s research group
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at Novartis Biomedical Research (BR) focuses on understanding the molecular and cellular mechanisms underlying chronic inflammatory skin diseases and identifying new therapeutic strategies. The project will be