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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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at (i) optimizing grain legume cropping among other via inoculants and nutrient supply, (ii) improving the mechanistic understanding of grain legume physiology and resistance to stresses, (iii
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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. Responsibilities: Conduct research in compilation, optimization, and analysis for time-predictable computer architecture. Co-supervise MSc and PhD students. Contribute to teaching and research proposal preparation
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intelligence (AI) to optimize large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. Key research areas include: Enhancing Selection Decisions: How can we make
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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and responsibilities. The applicant is expected to have expertise in the design and optimization of electrical and mechanical components, including actuator selection and control, CAD workflows
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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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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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the optimization of bioactive compound extraction from various seaweeds for the development of fortified foods. This PhD position aims to (i ) identify suitable seaweed species for high-yield protein extraction, (ii