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the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All
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materials. Where to apply Website https://www.academictransfer.com/en/jobs/357941/phd-position-in-explainable-ai-… Requirements Specific Requirements We are looking for a collaborative and aspirational new
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of published research relevant to clinical medicine, especially those using quantitative research methodologies. Experience and demonstrated achievement in University-level teaching and learning. A record of
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curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire to make a meaningful
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School, College and University committees, and may also lead a discipline area or strategic learning and teaching portfolio. To be successful in this position, you'll have: PhD or demonstrated equivalence
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
programming skills in languages such as Python, C/C++ and CUDA # Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch # Mandatory experience with High-Performance Computing (HPC
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graduate and professional learning programs Experience with online education and online education programs Deep knowledge of graduate and continuing education learning and best practices Outstanding
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Package and share out learnings from the Penn team’s embedded model to support similar collaborations in other jurisdictions Qualifications PhD in criminology, economics, public policy, or a related field 3
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experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials
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, 3-D dosimetry, oncologic and biological imaging, automatic treatment planning, radiomics and deep-learning, modeling of radiation damage for normal tissues and of tumor control using radiation