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FGFR isoforms. Recent advances in AI-driven protein design offer new opportunities to revisit the long-standing challenge of selectively targeting FGFRs. The project will use state-of-the-art AI-based
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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future time-predictable system based in the Wildcat RISC-V processor. This position will allow you to establish your independent research profile within the area of compilation, real-time systems, and
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strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based
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reactions. We welcome applicants from diverse backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate
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/or high-temperature heat pumps based on power cycles. Design thermal and/or thermochemical energy storage systems. Implementing and validating advanced thermodynamic models for performance prediction
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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institutes across Denmark, Greenland, Finland, Poland, and South Africa. The position will be based at DTU Aqua in Kgs. Lyngby, starting in February 2026. WaterColor investigates how climate-driven changes
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circular plastics economy. Learn more about the project at https://inano.au.dk/about/research-centers-and-projects/enzync . Note that the current position is based at DTU, Lyngby. Further information may be