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Assistant Professor Nicolas Ubrig (ubrig@mci.sdu.dk ). If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying the candidates are advised to read
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: A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field. Strong background in machine learning, data science, and optimization theory. Desired
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should be uploaded as ‘Miscellaneous documents’. The application deadline is June 7, 2025 , at 11.59 PM/23.59 (CET/CEST) Assessment and selection process Assessment of applications will be done under
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Engineering. The growing electrification of all sectors, with added intelligence on all product and systems levels, is pushing novel technologies aggressively forward. They all require enhanced processing power
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required to make these decisions and the decision-making processes that can achieve socially just outcomes are unknown. In this project, we aim to bridge these knowledge gaps. LostToClimate is an effort in
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provide contact details such as e-mail or phone number. Shortlisting may be used in the assessment process. Incomplete applications and applications received after the deadline will neither be considered
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forward. They all require enhanced processing power and efficiency. Therefore, many of the sub-domains within Electrical Engineering, like advanced computing benefitting from novel chip designs, sensors and
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candidate’s research is to analyse work processes and robotic tasks from a manufacturing perspective to optimise production lines. The candidate will gain theoretical knowledge and practical aspects of product
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the process of cloning, handling of plasmids, and making lentivirus using cells is important. Experience with lipid nanoparticles (LNP) and mRNA will be a plus. Further information For further information
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used in the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters. Applications will be