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UiO/Anders Lien 24th April 2026 Languages English English English Postdoctoral position in Machine Learning and Computational Biology Apply for this job See advertisement About the position
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English Postdoctoral position in Machine Learning and Computational Biology Apply for this job See advertisement About the position Applications are invited for a full-time 3-year Postdoctoral position in
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, training deep learning models on large satellite datasets, and contributing to the integration of forecasting workflows into the IceBox system. The candidate will work closely with an interdisciplinary team
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disease which currently is treated with drugs that curb inflammation, but which do not interfere with the underlying pathogenic immune responses. While deep B-cell depleting therapies also appear to be
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. This entails interaction with user groups, policy- makers and practitioners. Field experience. Field experience is important for gaining deep insight about development challenges. Versatility. Working at CMI, it
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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference and probabilistic recommender systems. The position is connected to the project
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. Applicants must be able to teach in Norwegian or a Scandinavian language in order to meet current teaching needs. Applicants with little or no prior pedagogical competence will be encouraged to acquire basic
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1352 Postdoctoral Fellow (NOK 604.900-750.000) depending on qualifications. The position follows ordinary meriting regulations. Interested in learning more about the position? Contact Skatteforsk’s
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. Instruct in the isolation protocols for exosome extraction Perform multi-omics analyses on extracellular vesicles. Mentoring students, assisting with their research projects, and providing guidance