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level or equivalent in computer science, mathematics, or a related field, corresponding to at least 240 higher education credits. Knowledge in graph theory, classical/parameterized complexity, and
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CSE courses, of which at least 30 credits shall have been acquired at the second-cycle level. CSE courses refer to applied mathematics, computer science, physics or relevant fields. The requirements do
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! About the project Machine learning methods typically can only solve the tasks that they have been specifically trained to solve. They first adapt (train) a mathematical model on a number of examples and
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)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create multimodal systems. The emphasis is
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physics, electrical engineering, applied mathematics, mathematical statistics, machine learning or in a similar field, or, have completed at least 240 credits in higher education, with at least 60 credits
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departmental duties, up to a maximum of 20% of full-time. Your qualifications You have a Master’s degree in electrical engineering, engineering physics, computer science, applied mathematics or have completed
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, engineering physics, computer science, applied mathematics or have completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses within the topics mentioned above
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. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics
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28 Feb 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Computational physics Physics » Mathematical physics Physics » Quantum mechanics
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successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment