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, to undertake your own innovative research in and across the field. As a PhD candidate contributing to the NHMRC-funded SAFEST project, you will also have opportunities to learn from leading clinical researchers
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models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying regulatory principles. We work on regularization, training on time
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 6 days ago
abilities, religion or age. In case of equal qualifications, preference will be given to applicants with severe disabilities. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich
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, English or another (if unanimously decided). Internal communication is in German. Therefore a basic knowledge of German or the willingness to acquire such knowledge is essential. Work Location(s) Number
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to learn more. How to apply Submit your application by using our electronic application form no later than 15 October 2026 by 24:00 (midnight) Finnish time (UTC+3). Please note that the application is
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brokering, what beliefs brokers and parents hold about these strategies, and what opportunities for language learning emerge during brokering episodes. You will use a variety of methods, including
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the University of Amsterdam, the ACLC represents a thriving linguistics community, home to several research groups that you can join. The current project falls under the Language Learning, Literacy and
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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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decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch energy