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The applicant should have a PhD degree in transport, operations research, applied mathematics, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills
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University of Technology and the Norwegian University of Science and Technology. Project overview The aim of the Postdoc project is to contribute to increased knowledge on the complex interaction between
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Are you a passionate researcher looking to contribute to the advancement of life science and make a meaningful impact on health, sustainability, and innovation? Join us as a Postdoc at Chalmers
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activities, which also include responsibility for the master's programme in Naval Architecture and Ocean Engineering and contributions to the education of seafarers. Your profile To qualify for this position
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
performance in core mathematics and machine learning courses Master’s degree (or near completion) corresponding to at least 240 higher education credits in mathematics, computer science, electrical engineering
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and presentations. Research environment The Department of Mechanics and Maritime Sciences at Chalmers conducts fundamental and applied research across all transport modes. The Division of Fluid
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. This position is part of a collaborative effort between Chalmers University of Technology, Volvo Cars, and Volvo Group, and offers a unique opportunity to work at the intersection of control theory, machine
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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Sahlgrenska, we are working to advance AI-based decision-making systems, specifically designed for medical use. Information about the division and the department The Department of Computer Science and
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality