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multidisciplinary consortium brings together academic medical centres, universities, healthcare organisations and industry partners to develop and implement innovative technologies for home-based healthcare and
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the top international journals in our field. We like to collaborate with outside partners to link academic advancement with real world problems. Our teaching mission is to empower students with
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environment where diverse perspectives are encouraged. You will receive guidance and mentoring to develop your scientific and professional skills, with opportunities to co-supervise MSc students, present your
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and single authored peer-reviewed articles as part of your article-based PhD dissertation Teaching at the history department. Job requirements Must-have requirements A (research) master’s degree in
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, reading scientific literature, are eager to develop new skills, and thrive in an international, collaborative setting. A good sense of humour will help you feel at home in our team. You also bring: - a
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candidates within PREFERENCE receive interdisciplinary training and develop a unique combination of scientific, technical and transferable skills. The consortium aims to develop new LAFOV PET/CT methodologies
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candidates within PREFERENCE receive interdisciplinary training and develop a unique combination of scientific, technical and transferable skills. The consortium aims to develop new LAFOV PET/CT methodologies
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, you will: Acquire and analyse human neuroimaging data, with a primary focus on high-field fMRI of natural sound perception. Develop and apply AI/NeuroAI models, including deep neural networks, to model
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Are you passionate about shaping the future of AI infrastructure? Join us to develop innovative photonic technologies that enable ultra-fast, energy-efficient, and highly scalable optical
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as a modern scientist you will also brainstorm and work together with others. During your PhD trajectory you will further develop your collaborative skills. You will meet regularly with your supervisor