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Field
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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Edinburgh Napier University is the number one Scottish Modern University for research in Computer Science & Informatics, Engineering and for Architecture, Built Environment and Planning, as per
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and
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architectures for explainable dual-process computation Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve
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project: Atropisomerism as an Enabling Technology for Foldamers. This research programme aims to develop a new class of artificial oligomers – atropisomeric foldamers – in which molecular conformation is
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 2 months ago
motivation to work on this field. In cases where candidates have motivation to pursue a PhD in a related field and experience in Mobile Robotics, AI and Computer Vision, these should be clearly stated. Proof
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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should have obtained / been conferred a PhD degree or an equivalent qualification in Materials Science, Mechanical / Applied Mechanics, Physics, Computer Science, Data Science, or a closely related field
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- Computer Science and Communication Research Centre, at the ESTG – School of Technology and Management, of the Polytechnic of Leiria, under the supervision of PhD Professor Sílvio Priem Mendes. . GRANT