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. The task is to understand phenomena like “model collapse” and implementing strategies to avert it, using tools from the Systems and Control field. Wallenberg AI, Autonomous Systems and Software Program (WASP
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include: Developing the model using open-source Python software Planning and conducting experiments Analysing teardown reports and experimental data Validating and improving the model Publishing results in
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or technical writing. Meritorious qualifications: Understanding of urban planning in relation to climate adaptation and traffic management. Experience with advanced hydrological modelling software at catchment
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AI, Autonomous Systems and Software Program (WASP). As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include
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of properties of building materials. - Publishing Scientific articles in the field of study. - Documented laboratory and field sampling and analyses. - Experience in using software. e.g. OpenLCA, BIM, Matlab
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digital manufacturing, woodworking, material testing and characterization, and advanced software and digital facilities. Being part of Chalmers, a top Swedish university with strong industry ties and a
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Important for this Position: Practical experience handling large Swedish national registers (population-wide data). Documented expertise in R or equivalent statistical software. Strong experience with SCCS
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: Master’s degree in biomedicine or biostatistics. Doctor of medicine degree with clinical practice experience. Certified training in R and Python software. Documented experience using machine learning and
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for instance to socio-technological networks. The Division of Automatic Control has a strong commitment to WASP (Wallenberg AI, Autonomous Systems and Software Program) . This recruitment is potentially eligible
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal