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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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the subject-specific research field; regular reporting on research progress to the supervising professors; publishing the results of the research work individually and in concert with others; cooperative
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aims to develop responsible transport appraisal methods that consider multiple performance metrics simultaneously, with a special emphasis on fairness to weigh different circumstances, constraints, and
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you will break new ground at the absolute forefront of what is possible in safe operation of autonomous agricultural vehicles. These are needed to enable better land use and management. This project
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research field; regular reporting on research progress to the supervising professors; publishing the results of the research work individually and in concert with others; cooperative maintenance of internal
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Investigators: Dr.-Ing. habil. Judith Rosenow, Chair of Air Transport Technology and Logistics and co-supervised by at least one additional professor plus an international tutor of the RTG
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to the guidelines of the RTG cur-riculum; supporting scientific graduation work (Bachelor/Master/Diploma) in the subject-specific re-search field; regular reporting on research progress to the supervising professors
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collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
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motivated applicant to undertake an original and applied programme of research linked to ongoing work led nationally by the Chartered Institute for the Management of Sport and Physical Activity (CIMSPA
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for sustainability in real-life settings; conduct action research and stakeholder engagement; work collaboratively in a team across disciplines and with multiple stakeholders; participate in conferences, workshops and