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tightly coupled to GPU-accelerated high-performance computing using Lund University’s national e-infrastructure. You will join an interdisciplinary research environment that values scientific independence
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at a molecular level with applications in drug development and biotechnology. BioMAX is in user operation since 2017 with world class performance thanks to the competent and dedicated staff, high
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activities in areas such as numerical analysis, mathematical modelling, development and analysis of algorithms, machine learning, optimization, scientific software development and high-performance computing
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partners. Tasks and responsibilities You will conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure
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areas such as machine learning, optimization, scientific software development and high-performance computing. The division is an important part of the eSSENCE e-science collaboration and of the Science
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-Performance Computing (HPC) cluster environments. Analyzing biophysical data, maintaining clean code repositories (Git), and presenting findings within the group. Qualification requirements Essential
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arena within WASP and HPC2N (high performance computing cluster). The work covers all aspects of the platform construction: Interviews with partners from academia and industry, elaboration of needs
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neurodegenerative disease Familiarity with git and GitHub Competence using Linux-based high-performance parallel computing systems Other information This is a special fixed-term position (SÄVA) of 6 months, 100 % of
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training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see here. The employment In connection with your admission
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well-organized. Experience with analysis of neuroimaging data. Experience with UKBiobank. Merits for the position are: Familiarity with git and GitHub. Competence using Linux-based high-performance