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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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Job Purpose The post holder will join the School of Infection and Immunity, working in the structural biology and bioinformatics research areas under the supervision of Dr Victor Tobiasson
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available from July 2026. The research group studies functional immunogenetics and adaptive immunity - particularly in relation to autoimmune diseases (https://www.med.uio.no/klinmed/english/people/aca
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well as the database construction to advance survey astronomy. Projects range from AI-oriented astrophysics and cosmology, such as simulation-based inference, AI-based data reduction, and AI-based accurate modeling and
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that adhere to University policy. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Structural Engineering, Civil Engineering, or closely related field Preferred
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work includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: A PhD in structural biology, cell biology, biophysics, bioengineering, or a related
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of Informatics at Blindern, Oslo. Job description Unsupervised machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where
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a Doctoral Researcher for AI agent applications in real estate and construction. The fixed-term contract will include working on a dissertation in the newly funded AI Champion project. The thematic
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here: https://nexs.ku.dk/english/research/nutrition-health/lifecourse-nutrition-and-health/ Your job As postdoc you would play a key role in the PREPARE-CHILD study (https://nexs.ku.dk/forskning
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structured clinical interview administration (e.g., Quick-SCID, EPSI-CRV, MINI) and interviewing skills for diagnostic, suicide-risk, and eating-disorder assessment. Ensure adherence to study protocols