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reversible CO2 heat pumps. Development and demonstration of an energy optimizing algorithm for reversible CO2 heat pumps (with and without ejector): (i) Use of the previously implemented simulation model
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treatment, with extensive knowledge of experimental methods in both microbiology (e.g., bioinformatics) and wastewater biotechnology. Are skilled in the development and optimization of biological processes in
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employed in the project. Our expectations of you The candidate should have a deep technical insight and experience in high performance computing, programming and structural optimization. The candidate must
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verification of compiler optimizations in Rocq The position is for 15 hours per week. Starting on September 1, 2025 - or soon thereafter . The place of work is: Computer Science, Aarhus University - Åbogade 34
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deep learning models, testing and optimizing the models documenting all performed tasks in detail, visualizing the model results, and writing technical reports investigating related software and
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. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written
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for industrial production focusing on Tenebrio and black soldier fly. The tasks will include: Establishing nutrient requirements for optimal production and resource utilization in insects produced at an industrial