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requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning, data science, computer vision, computer science, applied
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sustainable systems. One issue using hydrogen is, however, the transportation and storage. Current methods rely on liquid compressed hydrogen, which requires high pressures or low temperatures. This project
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division of the Department of Electrical Engineering . You will be supervised by senior researchers with expertise in robotics, machine learning, automatic control, and optimization. The group leads and
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well as electrical flow. Prototyping of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming
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identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as well as electrical flow. Prototyping of the identified structures via stereolithographic, 3D printing
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information about this DC position, please contact the scientist-in-charge/supervisor: Ola Rolfson, Professor/ Chief Physician, Institute of Clinical Sciences e-mail: ola.rolfson@gu.se Some background material
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=9b89bead79bb7258ad55c8d75228e5b7&job_id=38346 For additional information about this DC position, please contact the scientist-in-charge/supervisor: Assoc. Prof. Margarita Trobos, e-mail: margarita.trobos@biomaterials.gu.se Some
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&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=38347 For additional information about this DC position, please contact the scientist-in-charge/supervisor: Assoc. Prof. Margarita Trobos, e-mail
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material can be electrochemically p- and n-type doped at the two electrodes, and that a light-emitting p-n junction, as a consequence, can form in the bulk under electrical bias. It has recently been
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the Higher Education Ordinance. To meet the general entry requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning