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Field
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numerically implements the newly derived theoretical frameworks using fundamental computer programming languages. The numerical solver will leverage existing modules (by then) developed from the ‘OceanCoupling
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or Bachelor's Degree received within the last 60 months or currently pursuing. Discipline(s): Computer, Information, and Data Sciences (16 ) Life Health and Medical Sciences (45 ) Mathematics and Statistics
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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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data with theory and computer simulations (in collaboration with Network partners), it will define basic physical rules that predict how binder clustering affects glycocalyx recognition and self
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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