101 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "I.E" positions at University of Lund
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Description of the workplace The position is located at the Faculty of Medicine, Biomedical Center (BMC), Lund University. The research group is based at BMC, building C13, Sölvegatan 19 in Lund. We work in an international and interdisciplinary research environment focusing on microbiology,...
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of degree certificates Your doctoral thesis and 1–3 scientific publications (including a specification of your contribution as an author in co-authored works) A research plan presenting the proposed research
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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 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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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human...
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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
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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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to work independently, take initiative, and plan and conduct research with attention to detail, scientific rigor, and a structured, systematic approach. High motivation and strong interest in developing
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senior researchers and doctoral students. Current research areas within the Department of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability