32 scholarship-phd-agent-based-modelling Postdoctoral positions at Chalmers University of Technology in Sweden
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to emerging digital technologies Interplay between technology development and business model evolution - how advancements in technologies reshape value creation and value capture, necessitating continous
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to sustainable food production, nutrition and health. Our research ranges from food chemistry and technology to precision nutrition, with a strong focus on marine and plant-based food systems. By combining
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research ranges from food chemistry and technology to precision nutrition, with a strong focus on marine and plant-based food systems. By combining fundamental and applied research, we aim to improve food
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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with international partners in the FLAG-ERA project ThinQ. You will also have the opportunity to contribute your own research ideas and take part in supervising PhD students. About the research project
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the models and measurement methods. The position is based at the Division of Transport, Energy and Environment within the Department of Mechanics and Maritime Sciences . The division conducts
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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collaboration with six partners in Austria, Germany, and Sweden, aiming to develop advanced zinc-based batteries for stationary energy storage. The project focuses on creating efficient and reliable energy
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will be highly valuable for a career in nuclear waste management—a highly sought-after qualification in today’s nuclear energy sector. Project overview The position is based in the Nuclear Chemistry
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on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state