40 computing-"https:"-"IDAEA-CSIC"-"https:"-"https:" Postdoctoral positions in Denmark
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data, variant discovery and filtering, and downstream population-genetic and evolutionary-genomic analyses. The work will require substantial data processing, quality control and computational
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, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme
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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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motivated by combining rigorous modelling with direct industrial impact in the green transition. You have: A PhD in chemical engineering, process engineering, mechanical engineering, data science, computer
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level at least equivalent to those obtained through the satisfactory completion of a PhD programme within the relevant field. Application deadline 30 October 2026 at 23:59 [CEST].
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soon as possible thereafter. The position is a fixed-term full-time position for 3 years. Department of Clinical Medicine, Section for Bioinformatics and Computational Biology As a Postdoc at the
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. Read more here . Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development
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cardiometabolic disease. Together, our research programme combines fundamental discovery with early-phase clinical translation to develop innovative immunotherapies capable of achieving long-term control or cure
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information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data