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to the UKE. Main tasks You will join the Institute of Medical Systems Bioinformatics (www.ims.bio ) and the bAIome Center for Biomedical AI (www.baiome.org ) as part of a dynamic, international, and
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, Molecular Biology or related fields. It is an admission requirement that the doctoral degree must have been obtained within the three years prior to the date of application submission. It is a requirement
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formal methods. The successful candidate will contribute to advancing data-driven modeling techniques that enable formal safety guarantees for complex dynamical systems such as autonomous vehicles
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, medical imaging, pathology, molecular biology, and biostatistics. The resulting international biobank of precisely characterised tumour samples provides the basis for countless research projects and opens
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/Qualifications A PhD degree in molecular chemistry and a strong background in organic synthesis, skills and motivation for multistep synthesis, expertise in characterization techniques (NMR 1D and 2D, mass
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application of dynamic mathematical modelling approaches to simulate the spread of infectious agents in human populations. The Unit coordinates the Interdisciplinary Center of Mathematical Modelling
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working conditions in a dynamic and highly international research environment. Our team at University of Copenhagen currently consists of around 20 team members representing 13 different nationalities. Our
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
skills in computational molecular (bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
protein (FAP) as an emerging target for molecular imaging and/or cancer therapy, this project aims to develop and optimize bioconjugation and radiolabeling methods for computationally designed miniproteins