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consequences of genetic variation of a wide range of organisms across the biological kingdoms. Where to apply Website https://www.academictransfer.com/en/jobs/363884/post-doc-in-molecular-genetics-… Requirements
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How to best incorporate New Genomic Techniques to solve challenging issues in plant breeding? The recent approval by the European Parliament of new legislation to allow application of gene editing approaches in plant breeding, offers new opportunities to address this. One such challenge is to...
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candidate proteins will be applied in bio-assays using freshwater snails to test their bioactivity. These candidates will emerge from collaboration among the three post-docs on the project and will require
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Are you our new colleague? Are you an ambitious, highly motivated, and result driven (postdoctoral) scientist with experience in interpreting atmospheric (satellite) observations and machine learning? Then you are the person we are looking for. Your position You will contribute to the newly...
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research has a high profile both in the Netherlands and internationally and is strengthened by the many young researchers working on innovative projects with as doctoral candidates and post-docs. It has been
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for teachers to design their courses so the use of AI contributes to meaningful learning; and (4) create an engaged community around teaching and learning in the age of AI. For this post-doc position you will
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young researchers working on innovative projects with as doctoral candidates and post-docs. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and
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this position, you will employ molecular dynamics (MD) simulations to investigate the underlying atomistic mechanisms of LCI in steel grain boundaries and the inhibitory role of silicon. Your MD-based approach
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validation, this position addresses the underlying governing atomistic mechanisms. Within this position, you will employ molecular dynamics (MD) simulations to investigate the underlying atomistic mechanisms
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modeling, molecular interactions/energetics, and tools such as AlphaFold, Rosetta, or MD simulations. Solid programming skills (Python); familiarity with machine learning is a plus. For both profiles, we