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that are commonly applied to learning and teaching practice in computer science education. Employment Terms The PhD student is expected to teach FNUG’s courses MM107 Dynamic Systems and Interdisciplinary Subject
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Department of Computer Science, Aarhus University is looking for a Post Doc in Interaction Techni...
. Tasks The responsibilities of the successful applicant would include research on the above topics in collaboration with other post docs and PhDs at Department of Computer Science and Department
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Computer-Aided Drug Discovery modeller to join our team. Your new role Your main responsibilities will be to drive Drug Discovery projects by identifying, developing, and delivering high quality modelling
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. Measurement techniques in field applications and in the laboratory. Modeling and simulation skills (batteries, energy systems, electric equivalent circuits). Machine learning, statistical analysis, and other
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defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and enable charge
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, dplyr etc.,) and version control system (git, bitbucket etc.). Experience in use of AI and Machine Learning techniques using Python (sklearn, statsmodels, pandas, numpy) is desirable. Solid and proven
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carriers within defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and
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such as deep learning and explore the registries to identify patterns of aging in health related datasets. The candidate will use natural language processing and large language models and other machine
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Tenure-Track Assistant Professor / Associate Professor in Bioinformatics at Aarhus University, De...
within machine learning and artificial intelligence. The applicant must have earned a PhD degree and have demonstrated excellence in research and scholarship within the field of interest. As an assistant
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, you must hold a PhD degree (or equivalent). The successful candidate must moreover exhibit the following professional and personal qualifications: Strong background within machine learning/deep learning