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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
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., computer, phone and subscription), subsidized canteen meals, comprehensive travel/health insurance policy, etc. Relocation assistance: accommodation, visas, complimentary Norwegian language courses, etc
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or equivalent in mathematics, physics, control, cybernetics, computer engineering, automation, or related fields. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian
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equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior
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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. The position is in the Digital Signal
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive
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, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based
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simulations, including AI-based methods. The project associated with this position aims to take advantage of a virtual library of more than 1 million organometallic bifunctional catalysts, optimised
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computation Strong background in computer programming Strong background in relevant mathematical modelling Experience with interdisciplinary work A keen interest in natural history, nature conservation, science
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and