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languages such as Python or R. Experience with machine learning, systems biology, or network modeling approaches. Previous expertise in human cardiometabolic or complex diseases, with domain expertise in but
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analytical skills, including the ability to design, implement, and analyze complex experiments Prior experience with EEG is a plus Prior experience with cognitive modelling is a plus Good command of statistics
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/or visual attention and psychophysics Strong analytical skills, including the ability to design, implement, and analyze complex experiments Prior experience with EEG is a plus Good command of
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. Application deadline The application deadline is January 31, 2026, at 23.59 hrs. CET. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3485
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen
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centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute
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to transform the entire structure and functioning of Arctic coastal marine ecosystems. CIFAR is a research center that aims to unravel how the complex interplay between ice melt, runoff and ice formation across
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interdisciplinary environment of the Danish Polymer Centre. Elastomers’ complex mechanical behavior under varying conditions makes accurate prediction challenging. In this project, you will design and implement
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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that pose serious ecological and health risks. Their low concentration and complex behavior make experimental analyses challenging. Developing reliable predictive models is essential to reduce the reliance