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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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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
Are you passionate about how to train university students for neutron-based investigation at the European Spallation Source (ESS) in Lund? Do you want to research how students learn via digital
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AI Agents for Maritime Simulator Training Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education
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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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-based insights that inform policy decisions, contribute to academic discourse, and support education at various levels, from undergraduate teaching to professional training and executive education. School
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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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The University The University of Cambridge is one of the world's leading academic institutions, renowned for its excellence in education, research, and innovation. For nearly 800 years, we've been
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develop skills highly valued in FemTech and diet and health industries. These studentships are funded through GW4 BioMed3 MRC Doctoral Landscape Programme and consist of UK tuition fees, as well as a
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statistical approaches to characterise disease trajectories, develop risk prediction models, and identify factors associated with differential treatment outcomes. The findings will improve understanding of long