26 image-processing-postdoc PhD positions at Chalmers University of Technology in Sweden
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-SEK, 12-year Wallenberg Centre for Quantum Technology (WACQT), aiming to build a superconducting quantum computer. As part of this project, you will explore quantum computation with microwave circuits
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Transformers are central to many of today’s most successful AI models, from language understanding to computer vision. Yet, their success remains largely empirical, with limited theoretical understanding
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senior researchers, three postdocs and three PhD students. It is embedded in an interdisciplinary environment where we have close collaboration with other research teams at Chalmers such as technology
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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 group in the Quantum
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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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chemistry and food technology to molecular and data- driven nutrition (Precision Nutrition). In Food Science, we focus primarily on marine and plant-based food systems for which we develop tools and processes
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development process with the intent of accelerating the adoption of the technology in the companies in Software Center. We seek candidates with the following qualifications: To qualify as a PhD student, you
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more general information about doctoral studies at Chalmers here . Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40
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Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support
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high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop