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Description Postdoctoral Fellowship at Design++ Design++ is the Center for Augmented Computational Design in Architecture, Engineering and Construction (AEC) at ETH Zurich. The center's vision is to remove
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the next generation of leaders and innovators with the skill, commitment, and vision to protect vulnerable communities and truly advance health outcomes. It is at the heart of everything we do. About the
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position The Department of Physics and
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in the laboratory QUALIFICATIONS Successful applicants will have: PhD with expertise in cancer biology, proteomics and/or computational biology / machine learning A proven track record with first
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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applications for a one-year Postdoctoral Fellow (with possibility of extension) to support an occupational hygiene research program in exposure and risk assessment under the supervision of Professor Hugh W
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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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experience in machine learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural
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enrolled in a PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf subject to suitable performance