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- Receive structured mentorship focused on career development, scholarship, and residency preparation Qualifications Required: * MD or DO degree * Completion of a two (2) years ACGME-accredited postgraduate
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. The successful candidate will have strong data skills, including experience handling complex data structures, working with spatial data, and causal approaches. The goal of this position is to provide advanced
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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research project lead by Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in
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Department: School of Business Vacancy ID: 039923 Closing Date: 22-Feb-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. The International Research on...
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a Ph.D. degree in Biochemistry, Structural Biology, or a related field, and demonstrate exceptional experimental, writing, and communication abilities. Our laboratory focuses on deciphering
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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Postdoctoral Research Associate in Neuromorphic encoding for biological neurocomputation who has: a PhD (or near completion) in physics, engineering or a closely related field strong knowledge and skills in
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to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae
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magnetic thin films, patterned structures, and complex interfaces. In this advertised role, you will be conducting real-space imaging of magnetic heterostructures using LTEM to understand spin textures and