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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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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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2750 1476, email: jerome@sdu.dk . If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying the candidates are advised to read the Faculty information
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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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. If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying the candidates are advised to read the Faculty information for prospective PhD students and
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are crucial for their successful, time- and cost-effective design, construction, sale and purchase, operation and maintenance. Future naval vessels are expected to be highly modular, thus requiring similarly
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Training: Conduct Silvaco TCAD simulations (fabrication processes, device modeling, and circuit-level simulations) . Experimental Work: Participate in cleanroom processes, device fabrication, and electrical
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from time registration, also known as a self-organiser. Assessment and selection process Read about the Assessment and selection process . Applications will be assessed by an assessment committee
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about the network as a whole, its scientific content, and the application and selection process here . All positions are fully funded, with very competitive salaries. More information on funding from