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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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aimed at studying protein interactions in cells and tissues, making use of the expertise of the Piazza lab. With proof-of-concept already established, you will work to refine and optimize the method
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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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the Faculty of Medicine in order to optimize the conditions for preclinical and clinical translational research, research strategies and development, as well as education on both undergraduate and
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simulations and data-driven models for optimizing electrolyte formulation. The project involves close interaction with experimental partners in the AFLOW consortium and includes a planned research stay at
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departments at the Faculty of Medicine. Clinical Sciences Lund cooperates closely with Skåne University Hospital and the Faculty of Medicine in order to optimize the conditions for preclinical and clinical
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. The employment requires strong subject knowledge in optimization, mathematical modeling, and quantitative analysis. You are a problem solver who works well with complex issues, understands complicated written
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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