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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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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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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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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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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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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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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space
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, with researchers and students from around the globe. The Division of Marine Technology focuses on the professional understanding and technical development of ship operational performance. Research areas
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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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across Sweden and beyond. At NGI, you will be part of a dynamic environment with access to a broad range of instruments, high throughput automation, and strong computational expertise (https