40 computer-"https:"-"https:"-"https:"-"https:"-"University-of-York" Postdoctoral positions in Sweden
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computational workflows including: - Profiling open chromatin, histone marks, methylation, and chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses
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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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travel combustion engines. The research involves computational thermodynamics (CALPHAD), high-throughput computational screening methods for alloy design, experimental alloy production (casting and/or AM
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Computational Physics, Biophysics, and Plasma and Space physics. The Department is now seeking a postdoctoral researcher for a project that aims to develop luminescent carbon dots for light-emitting applications
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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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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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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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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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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