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structure-adhesion relationships from characterization data Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Material Science and Engineering or Material Chemistry
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support PhD candidates in their thesis research Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image
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Master level (Co-) Supervision of master and PhD theses is highly encouraged For further information, please contact Prof. Iris Behrmann: Your profile A PhD in Biology, Biochemistry, Biotechnology
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and common projects of the research group in IP law. The doctoral researcher will join a collegial research group comprising several PhD candidates and one postdoctoral researcher, all working on topics
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, professionals, service user and policy makers. The successful candidate will pursue their own doctoral research project leading to a PhD within a collaborative research environment. We seek applicants with a
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· PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a closely related discipline. · Strong academic background in computational mechanics, fluid dynamics, electromagnetics
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innovation projects from diverse sources, partnerships, European/International/National research agencies Advise and support PhD candidates in their thesis research Teach courses at bachelor and master level
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The PhD candidate will be associated with the Institute for Teaching and Learning, Department of Education and Social Work at the University of Luxembourg. The person will be part of a team in the
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funding acquired over the past 5 (five) years List of PhD theses supervised List of teaching activities over the past 5 (five) years, including courses taught Statement of research, teaching and other
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workshops and valorisation strategy. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Materials Science, Applied Physics, Nanotechnology Experience and skills 3 to 5