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9th November 2025 Languages English Norsk Bokmål English English PhD Scholarship - Deep learning for forest point clouds Apply for this job See advertisement Key Information The position is part of
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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. Host: Helmholtz-Zentrum Hereon, Geesthacht, Germany, with PhD degree awarded by Kiel University (CAU), Germany. Read more about Hereon Institute of Surface Science Collaborators: Uppsala Universitet
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, and molecular mechanisms of disease High motivation to learn advanced spectroscopy techniques (NMR, smFRET) Excellent communication skills and ability to work in a collaborative environment Desirable
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is on analysing first-person descriptions of conscious experiences with the help of machine learning and large language models (LLMs) to identify, compare, and systematize different types of states of
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, housed within AME and the Aerospace Center, collaborate with the W.M. Keck Center for 3D Innovation and IMSE. Successful candidates will advance AI-guided manufacturing and materials innovation for space
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development in coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a
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) inconsortium/institutional seminars and national/international symposiums or conferences. Eager to carry out visitations (if required) to other laboratories (within Belgium or abroad) for learning new techniques
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well as collaborate in the teaching and tutorial sessions in courses on introductory and advanced Machine Learning within the Neurophysics Master’s degree programme at Radboud University. Your teaching load may be up
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collaborate across multidisciplinary teams. The Postdoctoral Associate will help to transform and expand the way purpose is understood, accessed, and developed. About PSIX PSiX emerges from the longstanding