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Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing and Image Analysis as part of Visual Intelligence , Norway’s leading research centre
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modelling and infectious disease dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and mathematical modelling tools. Excellent knowledge of programming languages
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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analysis (core and borehole), the integration of new data and concepts with existing seismic models. The project will involve collaboration with industry partners and other scientific teams. The candidate
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collection, analysis, and publications in close collaboration with other team members and under the guidance of Siri Leknes. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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the Job related to staff position within a Research Infrastructure? No Offer Description The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine
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include an educational component. This is the right position if you are highly motivated about fundamental science and excited about questions related to fluid flows, droplets, wetting phenomena and
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of Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency within their fellowship period if the duty component increases to 25
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sediment and particle transport and fluid dynamics Publications in the relevant field Preferred selection criteria Experience with programming and data analysis using Matlab, Python, or similar tools