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and Image Analysis as part of Visual Intelligence , Norway’s leading research centre in deep learning for image analysis. Starting date as soon as possible. The fellowship period is three years. A
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software. Conduct single-cell TCR and BCR analysis, and RNA transcriptome profiling of relevant T and B cell subsets. Colourbox via Unsplash Colourbox Qualifications - The Ideal Candidate We are seeking a
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. The candidate will participate in study design, data collection, analysis, and publications in close collaboration with other team members and under the guidance of Siri Leknes. Further details about the project
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, psychology, anesthesiology, and other disciplines and specializes in the study of pain, reward, stress, and addiction. The candidate will participate in study design, data collection, analysis, and
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. The main workload will involve field investigations, subsurface data analysis (core and borehole), the integration of new data and concepts with existing seismic models. The project will involve
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machine learning and or other mathematical approaches used in (bulk and single-cell) immune repertoire analysis is considered an advantage. Experience in statistical physics is an advantage Fluent oral and
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petrography, and integration of complementary datasets, including seismic data. The main workload will involve field investigations, subsurface data analysis (core and borehole), the integration of new data
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repertoire analysis is considered an advantage. Experience in statistical physics is an advantage Fluent oral and written communication skills in English. Personal skills The candidate will work in a very
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of their fellowship period within the duty component of 25 %. Place of work is Department of Informatics at Blindern, Oslo.. Project description The postdoctoral position is funded by the Department
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able to participate in the larger Cosmoglobe project (PI: Prof. Ingunn Wehus), including analysis of archival data such as AKARI and DIRBE, as well as ongoing projects (e.g., COMAP and PASIPHAE) and