899 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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. Qualifications: Strong research productivity and demonstrated potentials; Ph.D. (Electrical Engineering, Computer Engineering, Computer Science, Statistics, Applied Math, or related field); A minimum relevant
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research groups within CCB (Learn more: Bioinformatics & AI ). Your Role We are seeking a skilled computational biologist to organize and deliver training on bioinformatics and AI for the CCB research
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Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision frameworks and tools (e.g., OpenCV, PyTorch, TensorFlow). Strong commitment to excellence in teaching and
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) Teaching statement describing your teaching philosophy, current contributions, and your plans for future contributions (up to 1 page) https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Novena-Campus-Singapore
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describing your teaching philosophy, current contributions, and your plans for future contributions (up to 1 page) https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Novena-Campus-Singapore/Associate-Assistant
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to actively shape its holistic development (https://www.tu-braunschweig.de/hochschulentwicklung ). In addition to the classic service areas of a university (research, teaching and studies, transfer
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commitment to education and student mentorship. Candidates must possess a doctorate in their respective field by the time of appointment. Please visit Colleges, Schools and Departments in CityUHK at https
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Cloverdale, KPU is deeply connected to the communities it serves and to the diverse cultures, backgrounds, and lived experiences of its students. Through academic excellence, applied learning, innovation, and
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the synaptic wiring diagram, or connectome, of whole brains, designing, building and using machine learning approaches to computer vision as applied to volume electron microscopy of whole brains. The ideal
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stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file tolinda.petersohn@tu-dresden.de or to: TU Dresden