12 professor-computer-"https:"-"https:" Postdoctoral research jobs at University of Lund
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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 The Department of Electrical and Information Technology at Lund University, The Faculty of Engineering, LTH, is one of the larger departments with around 120 employees. The department consists of four divisions and a group of technical and administrative staff. The...
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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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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