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to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and application
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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formation and how local dose is distributed. In the longer perspective, this knowledge will support optimization and translation of bioelectronic implants towards clinical application. In this project, you
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, generative diffusion models, flow models, optimal transport, stochastic filtering, sequential Monte Carlo, Markov chain Monte Carlo, and Bayesian inference and inverse problems is strongly advantageous. Your
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We are looking for a PhD student in Mineral Processing. As a PhD student, you will be part of an established international research group to work on a new research project, the optimization
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Medicine (STRIME) is led by Lotta Happonen, and the focus is to map how different bacteria bind to human cells and proteins to cause infection. The specific aim is to use a combination of protein mass
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. Thus, this project will advance our empirical understanding and thereby create an urgently needed decision support for developing optimized strategies for boreal peatland forest management. The main
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identify, analyze, and evaluate strategies that can make the last-mile distribution more sustainable than today. You will, for example, analyze different scenarios with mixed vehicle fleets, charging
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Division of Infection Medicine The research group in Structural Infection Medicine (STRIME) is led by Lotta Happonen, and the focus is to map how different bacteria bind to human cells and proteins
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. The outcome will advance understanding of tree genetics in operational forestry and demonstrate new ways to optimize tree breeding and forest management. Qualifications: The successful candidate should have an