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criteria Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates: Education A Ph.D. in
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve
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for the Tennessee Believes inclusive higher education program. This role ensures full compliance with state grant requirements while supervising the delivery of direct services to students with intellectual and
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smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge and curiosity
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accomplished academician, clinician, educator and collaborator with a proven track record in innovating research. This position reports directly to the chair of the Department of Obstetrics and Gynecology within
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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Scholarship supported by BHP (Scholarship) has been developed to support and encourage single mothers as they pursue their higher education, helping them achieve long-term economic security for themselves and
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Scholarship (Scholarship ) has been established to encourage and support regional students in their studies at Curtin University. The Scholarship aims to reduce barriers to education and provide financial
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teaching and supervising Bachelor’s and Master’s students Networking within the Hohenheim research community During the standard period of study of up to six years, examinations and coursework totalling 30
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific