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Field
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scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by enabling foundation models to efficiently specialise through the exploitation of structure
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when needed and sharing expertise and experience, demonstrating strong collaboration, commitment to self-development, and support for the development of others. Develop strong working relationships with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
the immediate aftermath of trauma. Study participants were followed longitudinally for one year, beginning in the hours after trauma, using sophisticated adaptive sampling methods and state-of-the-art battery
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researcher, your responsibilities will include: Optimizing, and running head-fixed mouse behavioural tasks for harm-aversion and self-fear. Acquiring and analysing functional ultrasound imaging data from ACC
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Active Matter and Machine Learning In the Institute for Advanced Simulation - Theoretical Physics of Living Matter
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Master and preferably subsequent PhD degree in Computer Science, Mathematics, Physics or similar fields Broad interest in diverse scientific topics Self-motivated personality with a curiosity for working
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translation toward scalable, manufacturable optical devices. Where to apply Website https://www.academictransfer.com/en/jobs/362261/phd-in-device-integration-of-on… Requirements Specific Requirements A master’s
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draft, extended abstract or summary of the thesis project Via our job portal / Apply now - button (https://careers.univie.ac.at/en/ , reference number 5842) Applicants should arrange a letter of
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• Via our job portal / Apply now - button ( https://careers.univie.ac.at/en/ , reference number 5842) • Applicants should arrange a letter of reference sent to [email protected] before
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in