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qualification (usually PhD). We are looking for highly motivated candidates with a strong background in theoretical computer science (in particular, algorithm design). The successful applicants will take part in
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of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of
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), 39.2 hours/week (100% position). The position is generally suitable for part-time employment. The Leibniz Institute for Prevention Research and Epidemiology – BIPS is one of the leading epidemiological
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well as excursions to pharmaceutical companies are also part of the curriculum. By successfully completing the doctoral course of study, graduates can earn the Doctor of Philosophy (PhD) or Dr rerum naturalium (Dr rer
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experience analyzing omics datasets are advantageous (For bioinformatic-mathematic trait) Good performance in biology courses at university Proficient in English (spoken and written) Self-motivated, committed
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for a motivated PhD student with a good knowledge of algorithms and theoretical computer science. The successful candidate will take part in the research and teaching activities at the Chair of Algorithms
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experience analyzing omics datasets are advantageous (For bioinformatic-mathematic trait) Good performance in biology courses at university Proficient in English (spoken and written) Self-motivated, committed
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10 Oct 2025 Job Information Organisation/Company CISPA Helmholtz Center for Information Security Research Field Computer science Mathematics Researcher Profile First Stage Researcher (R1) Positions
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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,600 employees in one
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staff position within a Research Infrastructure? No Offer Description Work group: Institute of Surface Science Area of research: PHD Thesis Starting date: 13.10.2025 Job description:EU MSCA doctoral (PhD