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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly
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laboratory scientists, computational biologists, and clinical academic colleagues, running computer simulations and testing predictions in the lab. About you You should be highly motivated, and ambitious
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Graphics Design (1 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51
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four years in the Norwegian educational system Documented experience in computer networks especially in mobile networks and/or edge-cloud continuum Document knowledge about the system performance
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computer simulations; -Good knowledge of spoken and written English. Desirable: Experience in microbiology, particularly in fitness assays and analysis; Attention to detail, well organized, and Ability
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at the Information Technologies and Computer Infrastructures Unit of the Scientific Instrumentation Center (NTIII/CIC) of LNEC, without prejudice to the possibility of performing temporary missions in Portugal. 9
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Lisboa2030-FEDER-01317300. 3 – Financing source Lisboa2030, FEDER, Portugal 2030, European Commission 4 – Scientific area Computer Engineering, Computer Science, Data science, Information systems, Electronic
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Species Spread Faculty Mentors: Dr. Tih-Fen Ting (Ecology, Environmental Science), Dr. Yanhui Guo (AI, Computer Vision), and Dr. Yun Zhao (Remote Sensing, Drone-Based Environmental Monitoring) Focus
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. Additional optional skills and qualifications: Experience in computer vision for intelligent processing of documents. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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if you are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. Your research focus will be