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, collaborative, and analytical. What you will do Take courses at an advanced level within the Graduate school of Computer Science and Engineering Develop your own scientific concepts and communicate the results
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technology, Biochemical engineering, Biochemistry, Sustainable production & utilization of marine bioresources, or similar. Equivalent requirements apply to individuals with an education earned outside
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: Required qualifications: Master of Science in Civil or Environmental Engineering, or a related field. Experience in hydrological modelling. Proficiency in English, with strong skills in scientific
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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analytical. What you will do Take courses at an advanced level within the Graduate school of Computer Science and Engineering Develop your own scientific concepts and communicate the results of your research
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. Your profile Required qualifications: A Masterʼs degree equivalent to at least 240 higher education credits in Mechanical Engineering, Engineering Physics, Civil Engineering, or in a similar field, with
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the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
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students Take courses at an advanced level within the Graduate School Shipping and Marine Technology with a specialization in Energy and Environmental Systems Assessment Assist with the department’s
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at the Department of Microtechnology and Nanoscience at Chalmers University of Technology in Gothenburg, Sweden. Project description The continuous miniaturization of silicon-based electronics has driven
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
environment You will join the Communication Systems (CS) group within the Division of Communications, Antennas, and Optical Networks (CAOS) at the Department of Electrical Engineering . The group includes nine