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This is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led by Prof Maurizio Filippone, including Research Intern MS/PhD Student PhD Student Postdoctoral
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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How can societal learning for the green transition be anchored in everyday life and translated into strategic planning and urban governance practices? This PhD position offers the opportunity
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a PhD candidate to develop machine learning approaches for constitutive modeling. Context With the advent of machine-learning (ML
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Birkbeck, University of London, is seeking a passionate candidate to undertake a full-time PhD research in computing or mathematical sciences, and provide assistance to academic staff as a part-time
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for this PhD proposal should have the following qualifications: M.Sc. degree in electrical engineering, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills
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), the PhD candidate will focus on learning fundamental NLP methods and text analytics techniques. In parallel, but particularly in year two, the candidate will identify the objectives and research activities
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You will have a PhD in MRI Physics, Medical Physics, Biomedical Engineering, Applied Mathematics, or a related discipline, with strong expertise in MRI physics and advanced imaging techniques. You
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Classification Title: Associate / Full Professor - Genetics, Mammalian Genetics Classification Minimum Requirements: PhD, MD or MD/PhD in the biomedical sciences or a related field of study. Job