27 algorithm-development "https:" "Simons Foundation" PhD positions at Umeå University
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to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both
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algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and
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questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
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with big datasets: towards methods yielding valid statistical conclusions” led by Professor Xavier de Luna and Tetiana Gorbach (Statistics). The overall purpose of the project is to develop novel methods
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for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute
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barrier in the planned KBS-3 concept for final disposal of spent nuclear fuel. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques
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nationalities, backgrounds and fields. As a PhD student working with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good
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, existing bioinformatic tools are not equipped to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and
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The Department of Chemistry is opening a PhD position in Chemistry with a specialization in biochemistry. The thesis project will focus on electron microscopy (EM) method development using focused
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at the intersection of computational modelling, cutting-edge analytical chemistry, and experimental toxicology. The overall aim is to develop and validate new computational models to better understand how