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qualification, you must hold a PhD degree (or equivalent). We are looking for an exceptional physicist with extraordinary talents and outstanding drive. In particular, we are looking for academic excellence and
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research experience at PhD level in a relevant area such as robotics and control preferably applied to robots with flexible links. The candidate is hence expected to have most of the following qualifications
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, heart rhythm dynamics, etc.; and disseminating the results at international conferences and by publishing in peer-reviewed journals. As a formal qualification, you must hold a PhD degree (or equivalent
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qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We
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to the project deliverables while also supporting project management tasks, including deliverable preparation, milestone tracking, and communication across the consortium. Qualifications and requirements PhD
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for extinction risk prediction Qualifications We are looking for a candidate who has: As a formal qualification, you must hold a PhD degree (or equivalent) in bioinformatics, computational biology, evolutionary
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Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University of Copenhagen. The sub-package focuses
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
. The candidate will assume technological leadership over the software solutions developed for the above tasks, as well as take on to supervision of PhD and master students on the same topics. Your profile A Ph.D
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. The candidate will assume technological leadership over the software solutions developed for the above tasks, as well as take on to supervision of PhD and master students on the same topics. Your profile A Ph.D
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are part of a sub-project on Algorithmic Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University