52 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions 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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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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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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the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Experience from computational fluid dynamics (CFD) modeling, preferable in openFOAM
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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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· 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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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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. The overall aim of the research program is to identify exposures occurring during such windows, determine their importance for breast cancer risk, and if they can be targeted for risk reduction. Work
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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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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