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qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and
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machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid understanding of fluid dynamics and heat transfer, as
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. Qualifications requirements The applicant is required to have a PhD degree in Computer Science, Software Engineering, or related fields. The applicant must have completed the degree no more than three years before
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advanced level may also be relevant for the position. - administration (e.g. course responsibility or program coordination) and development of the preparatory year, bachelor's and master's programs in
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inter-disciplinary research topics and projects. Qualifications requirements The applicant is required to have a PhD degree in Computer Science or Computer Engineering. The applicant must have completed
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: Research in the field of the third-cycle studies (PhD studies) in Mathematics/Applied Mathematics, with a specific focus on the research project that funds the position. Institutional duties, which may
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. Specific requirements for this position that must be fulfilled are: Ph.D. in Computer Science Proven expertise in safety for collaborative intelligent systems or dependable Systems with a track record of
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. Position description The primary objective of the PhD project is to explore and develop innovative, cost-effective, and flexible solutions for managing water, waste, and energy while achieving zero climate
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and outside academia. Teaching or other assignments may be included in the position up to a maximum of 20%. The position is funded by the KK Foundation and the program “Jubilee doctoral students”, where
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish