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of electrical energy systems. Its activities can be summarised by the following keywords: electrical energy, materials, innovative processes and systems, modelling and design. With over a hundred permanent staff
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-impact career paths in research and higher education, within academia, research institutes, or industry. We will employ a PhD candidate to perform research on development of an AI model that “understands
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about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its
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methodologies to solve biologically relevant problems. Its members are active in the fields of docking, atomistic and coarse-grained simulations tackling problems such as protein/protein and protein/DNA
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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physics, microbial ecology, plant nutrition, plant physiology, plant ecology, biochemistry, and/or bioinformatics Strong interest in using process-based mathematical modeling to simulate biogeochemical
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specifically and contributing to related open-source codebases 2. Constructing and disseminating CRN datasets from the prior literature and from atomistic simulations to be used in training, testing, and
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ecology; experience with programming and simulation is an advantage. Excellent analytical and critical thinking skills, with the ability to relate model structure to outcomes and interpret them in
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responsibilities will include: Design and develop analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN
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for implementing ONNs. Modeling, simulate and benchmark different computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips