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. This will include SENSIF, a research project funded by the Joint Programming Initative on Antimicrobial Resistance (JPI-AMR ). The major responsibility as a postdoc is to perform research within the scope
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publish them in highly-ranked conference proceedings and journals in the areas of, e.g., AI/machine learning, software engineering, high-performance computing and/or other areas of interest. To the extent
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engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge of numerical methods for PDEs, expertise in High Performance Computing
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
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develops over time, and how this development is affected by lack of mechanical stimulation, using a large animal model. The technical goal includes to develop, perform and analyse data from high resolution
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to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel
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of numerical methods for PDEs, expertise in High Performance Computing and proficiency in a programming language. Excellent written and verbal communication skills in English, the capability to conceive, execute
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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Council through project 2024-04957 “Compiling General-size Linear Algebra Expressions using Equality Graphs”. The postdoctoral researcher will be part of the High-Performance and Automatic Computing group
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for high-resolution spectroscopy (x-ray photoelectron spectroscopy (XPS) and near edge x-ray absorption spectroscopy (NEXAFS)) on surfaces and in gas phase. One end station is dedicated to UHV surface