45 software-engineering-model-driven-engineering-phd-position positions at Linköping University
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas dynamics in urban environments. Gas dynamics shape air
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. The PhD programme includes course work amounting to 75 ECTS as well as PhD thesis work. Your qualifications The holder of the position must meet the requirements for both general and specific eligibility
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scaling model sizes, training budgets, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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application! We are looking for a PhD student in Medical Science Your work assignments As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your
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, Ethnicity and Society (REMESO), is looking for 2 or more PhD candidates. The candidate will work on an independently outlined project that can be aligned to one or several of the five REMESO research streams
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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
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application! We are looking for a PhD student in Medical Science Your work assignments As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your
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We are pleased to announce an opening for a postdoctoral position in the field of electrochemical energy storage within the Organic Energy Materials Group at the Laboratory of Organic Electronics