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to date focus on just one layer, understanding what keeps AF going is challenging. This PhD project aims to bridge that gap by combining advanced machine learning tools with a new experimental protocol
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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collaboration with researchers from QUT – Professor Jonathan Roberts and Doctor Steph Hutchison and will be situated within the School of Creative Arts at QUT. Moving with Robots investigates the use
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collection programs (e.g. R, fomr) Very good English and German skills (or willingness to acquire them) Interest in media communication We offer Part of a young and dynamic Emmy Noether Research Group Diverse
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-Channel Evaluation of Cellular Dynamics (TIMED) , is a 5-year collaboration between researchers at Chalmers University of Technology, Uppsala University, and Karolinska Institute. About us The Department of
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at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical
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deep learning, generative models, or biomedical imaging/omics data Strong programming skills (Python, PyTorch, etc.) A commitment to interdisciplinary collaboration and impactful research How to Apply
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We are offering a PhD student position in machine learning (ML) theory, focusing on new methods for training models with a limited amount of data. The student will be a part of a new NEST initiative
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(WASP). The NEST project, Solid Polymer ElectrolytE Discovery (SPEED) , is a 5-year collaboration between researchers at Chalmers University of Technology and Uppsala University. About us The Department
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diversity of our student population where people from a wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises