46 computational-physics "https:" "https:" "https:" "https:" "U.S" positions at Linköping University
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level in machine learning, computer science, mathematics, statistics, physics, or a related area that is considered relevant for the research topic of the project, or completed courses with a minimum of
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or data science, with suitable specialization, in medical physics with a sufficient portion of mathematics included, or other related scientific areas. You have good skills in computer programming. A strong
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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements. URL to this page https://web103.reachmee.com/ext/I011/853/main?site=7&validator
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well as vendors of job advertisements. URL to this page https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef950c393a904293789&lang=UK&rmpage=job&rmjob=28613&rmlang=UK
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opportunity to work on a collaborative, interdisciplinary project between computer science and materials science that aims to make drying process of wood more sustainable. The position As a research engineer
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statutory leave – then these may be taken into consideration. We are looking for a candidate with a doctoral degree in physics, physical chemistry, materials science, nanotechnology, spectroscopy, or a
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, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your
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induction. You will combine advanced genetic engineering approaches with survival assays, fluorescence-based techniques in fixed and live cells, single-cell sequencing, and computational bioinformatics