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University of Munich (TUM) , focusing on cutting-edge research in digital health, wearable sensing, and embedded artificial intelligence. The Project title is ‘IoT-based Assisted Living’ and the main purpose
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discovery process, leading to more economic and effective drugs that can significantly improve the health and lifestyle of millions. The resulting methods are also expected to have an impact in materials
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emotional health outcomes (including self-concept and anxiety). This includes validating new psychometric tools developed by Dr Caruana and Prof. McArthur for measuring reading engagement and emotional health
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PhD: Leveraging Street View Imagery and AI to Advance Urban Exposome Mapping Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40
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(Health and Society Group) and Prof. Arjan Stegeman (Faculty of Veterinary Medicine, Utrecht University). Your qualities A completed (or about to be completed) MSc degree in data science, computer science
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data analysis to tackle relevant health challenges? Then come and join our lab (headed by Prof. Manuela Schmidt) at the Division of Pharmacology and Toxicology and at the newly established University
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employment. Please indicate your request in your application. Position#6: TRR404-TUD-B07 Project: B07 Reconfigurable Architecture Project Leader: Prof. Diana Göhringer (Chair of Adaptive Dynamic Systems) Terms
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highly desirable that you have a sound understanding of robotics, machine learning, and AI. Benefits Attractive salary up to £35,116 per annum Excellent conditions including - social security tax, health
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: Prof. Diana Göhringer (Chair of Adaptive Dynamic Systems) Terms: 100% of the full-time weekly hours Tasks: The PhD student will be responsible
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PhD programme within QMUL’s Wolfson Institute of Public Health, under the supervision of Dr Giuliano Russo (WIPH) and Prof. Pietro Panzarasa (School of Business and Management). As part of the project