18 parallel-computing-numerical-methods PhD positions at Linköping University in Sweden
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30 Aug 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Digital systems Technology » Information technology Technology » Interface technology
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application! We are looking for a PhD student in AI and machine learning with a focus on generative machine learning methods for cyber security applications. Your work assignments The primary focus of this PhD
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assignments Your tasks will be to carry out research using advanced theoretical and computational methods within quantum mechanics and statistical physics with the aim to study novel materials synthesized
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26 Sep 2025 Job Information Organisation/Company Linköping University Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 17 Oct 2025
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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treatment. It is advantageous if you have previously worked with massively parallel sequencing (NGS), both in the laboratory and/or with bioinformatics, for example Single Cell RNAseq. It is also advantageous
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5 Sep 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 23 Oct
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-of-the-art advanced transmission electron microscopy methods. This position is part of a cross-disciplinary research effort supported by the Knut and Alice Wallenberg foundation between researchers at Lund
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First Stage Researcher (R1) Country Sweden Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities