261 computational-physics "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral research jobs in Sweden
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sci-entific reports and project proposals, writing ethics applications, as well as co-authoring research manuscripts, including submission to the journal process and other tasks. Eligibility To be
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has aimed to develop a two-part research programme. The first part focuses on developing and applying methods for 3D digital modelling, ranging from the collection of digital data from archaeological
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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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postgraduate education in ecology, environmental science and physical geography. The department has about 160 employees, 30 of whom are postdocs. For more information, visit www.emg.umu.se.
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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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· Perform computational analyses to investigate gut microbiota composition The selected candidate will use a combination of animal and in vitro studies to reach these aims. Work tasks also include designing
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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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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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supervisors, aligning with your expertise and the needs of the program. Core tasks include study design, data acquisition, analysis, and interpretation of imaging data. Work responsibilities An appointment as a
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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