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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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, 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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Norwegian (or another Scandinavian language) Experience in the following methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis
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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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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
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. Broad interests including some of the following: Higher category theory, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export
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, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations, including AI-based methods. The project associated with this position aims to take
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: experience in software development and computer programming strong skills in algorithms, physics, and modelling drilling or/and geoscience background understanding of economics, statistics, and risk evaluation
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-history theory Strong background in data management and computation Strong background in computer programming Strong background in relevant mathematical modelling Experience with interdisciplinary work A
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qualifications: A strong background in algebraic topology. Experience in any of the following: Higher category theory, stable homotopy theory, simplicial methods. An interest in computer algebra and programming