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ability to work both independently and as part of a team Preferred Qualifications Experience in graph-based AI models, multi-omics data integration, or network inference Background in epigenomics, gene
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and categorical quantum theory. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and strong traditions
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science, computational chemistry / biochemistry, applied mathematics, or a related area. The ideal candidate has strong familiarity with several of the following subjects: algorithmics, mathematical modelling, graph
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mathematics, or a related area. The ideal candidate has strong familiarity with several of the following subjects: algorithmics, mathematical modelling, graph transformation, algorithm engineering. Applications
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for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions
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poverty are transformed when wealth becomes extreme and aims to build new theory on the morality of extreme wealth. The project aims at three significant academic contributions: (1) to explore and map out
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or related fields Have experience in conceptual research and theory building. Have command of quantitative or qualitative research methods and related software. Preferably first teaching experience