52 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of Lund
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equality and diversity as a strength and an asset. The Department of Process and Life Science Engineering (PLE) at Lund University is located at Kemicentrum, one of the Nordics' largest centers for education
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. Description of the project As a postdoctoral researcher, you will work within the project Sustainable Food Systems, conducted in collaboration between Nutritional Epidemiology, the Department of Physical
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of preclinical validation in relevant disease models. The project is part of a broader research program (ERC Synergy grant) and may also include administrative tasks and collaboration with other disciplines
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doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. During your doctoral studies, you will have the unique opportunity to work
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large PhD programme and co-ordinates two international Master programmes. The Department has a well established reputation for wide-ranging research with an emphasis on long-term processes, and with
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biology, and physical and theoretical chemistry. The research includes experimental and theoretical studies of biological matter. We address molecular questions in biological systems, and study biological
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graduate in biology, medicine, chemistry, physics, or a related field Experience with quantitative data analysis Employment Details Type of employment: Fixed-term appointment, 3 months Scope: Part-time, 1–2
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position, the following shall form the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Experience from computational fluid dynamics
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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