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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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(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
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of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of
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will develop imaging-driven quantitative Mass Spectrometry-based omics methods, both at bulk population and single-cell levels, for this project. You will work closely with experts in cellular signalling
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the disparities. While foundation models offer great promise for creating more robust machine learning models for a wide array of tasks, it remains an open problem how to foresee their biases across that wide array
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using different materials, producing a comprehensive dataset of structures and their optical properties. This dataset will serve as input for AI-based design tools developed by collaborators within
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challenging job in an international environment with excellent facilities for experimental studies and scientific cruise-based research. We strive for academic excellence in an environment characterized by