820 learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Netherlands
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Learning Team van het ETC, zoals beschreven in onze missieverklaring . Daarnaast werk je nauw samen met andere collega's binnen de opleiding Europese Talen en Culturen, aan de verdere ontwikkeling van onze
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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learning and data science professional who wants to make a real-world impact? Do you have a specialisation in machine learning and affinity with project management? Do you want to apply advanced AI solutions
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the field of dynamical systems and control. Where to apply Website https://www.academictransfer.com/en/jobs/363988/phd-in-control-theory-for-learn… Requirements Specific Requirements A master’s degree (or an
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is seeking a highly motivated PhD candidate to work on a fundamental research project on systems and control theory for learning in neuromorphic circuits. Neuromorphic computing is an analog, brain
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) . You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship About 21% of the world’s forest area is currently designated under legal protection
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
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send your information to the attention of Menno Koeslag, HR Advisor, 23 August latest. Where to apply Website https://www.academictransfer.com/en/jobs/362937/manager-lifelong-learning/apply/ Requirements
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new