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Experience with Fortran, Python and Linux Shell Experience working with large datasets Preferred but not essential: Knowledge of wind farm parameterizations in mesoscale models Experience in the field of wave
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modelling • A high fascination for technical/scientific problems of theoretical and numerical research • Experience in the field of numerical time-accurate flow simulation, preferably turbomachinery • Ability
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is part of the newly funded Research Council of Finland project Redefining Inner Boundaries in Solar Wind Models (RIB-Wind), led by Dr. Stephan G. Heinemann. The preferred start date is October 2025
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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, validate, and refine high-fidelity 3D models of blood flow and vessel geometry using industry-standard CFD software. Analyze simulation results to provide actionable recommendations for design improvements
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immunology is highly advantageous. Proficiency in core immunological techniques such as multicolor flow cytometry, ELISA, tissue sectioning and imaging, or in vivo mouse models is strongly preferred
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deep generative models, e.g., diffusion, energy based, normalizing flow or transformer-based models. With a focus on the particular domain of molecules. The project will contribute to accelerate the drug
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until 25th April 2026. Key Accountabilities Use currently employed polymers to establish baseline functional profiles against which new polymer formulations can be compared. Ideally, we would develop
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are linked to research on composite hydrogen tanks, composite propellers for drones and finite element modelling of textile manufacturing. All research will be conducted with leading companies in
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We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by developing quantitative methods on transcriptomics datasets from stem cell models