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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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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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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group Our lab is advancing precision medicine through deep learning models
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on individual humans and society at large is either fully automated or heavily relies on automatically provided decision support. While machine learning approaches become increasingly prevalent in
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education in Naval Architecture and Ocean Engineering.The division comprises senior researchers, post-docs, and PhD students who foster an open and collaborative environment. Core research areas include ship
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multisite research project that investigates the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational environments. The Department
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references where appropriate and be created without the support of generative AI. Copies of grades and diplomas. Copy of thesis/degree project. Contact details with e-mail addresses of at least two referees
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, ATACseq data, and will analyze and synthesize and write up the work for publication and work closely with the HybridExpress team consisting of a lab manager, a PhD-student and a post doc. There will be