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the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum chemistry, conventional and enhanced sampling molecular dynamics simulations, generative AI
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group – lead by professor Sophia Zackrisson – with a main research interest in innovative imaging modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial
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foundations of society in the wake of today’s divergent mobilizations. The project is led by Professor Mia Liinason. Read more about the project: Gender Struggles in the New Conjuncture. We are now looking for
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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also be included in the duties. This position is primarily a research position that combines experimental and computational work. You will, in particular, be responsible to develop and implement a novel
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Description of the workplace Centre for Mathematical Sciences consists of approximately 150 teachers, researchers and doctoral students. Our team is actively involved in doctoral education and a wide range of activities in various mathematical fields. As part of the department, you will belong...
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Description of the workplace At the Faculty of Medicine, Lund University, the successful candidate will join a highly interdisciplinary research environment at the interface of translational cancer biology, analytical chemistry, evolution, and data science. The workplace offers access to...
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strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features
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several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM