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Skip to content Postdoctoral Fellow in High-throughput Biophysics Stockholm University Share: Facebook Twitter LinkedIn Email Application deadline August 15, 2026 Read more and apply SciLifeLab
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principles and research data management. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific
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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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cell- and module level. Particular emphasis will be placed on leveraging modern heterogeneous computing architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed
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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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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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with quantitative analysis and programming in R, Python or similar languages, and/or high-performance or batch-computing workflows Fieldwork experience in tropical forests and under remote or
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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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Employer Chalmers University of Technology Location Gothenburg (Stad), Västra Götaland (SE) Salary Commensurate with experience Closing date 21 Nov 2026 Website https://www.chalmers.se/en/about-chalmers
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sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. You should have expertise in algorithm design and high-performance computing, particularly in