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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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. The Proteomics unit in UiO has state-of-the art facilities for modern mass spectrometry-based proteomics, and there is strong focus on proteomics method development by multiple partner groups in COMBINE
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four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. More about the position / Project description The research
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in deep learning methodology for earth observation. You will work on deep learning methods for detection of oil spills in the ocean based on satellite imagery. A key focus will be to develop oil spill
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these challenges by advancing machine learning (ML)-based and data-intensive methods for the scalable design, processing, and deployment of DPPs. The advertised PhD position focuses on developing ML-based and
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computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches such as next-generation infection, cancer, and autoimmune immunodiagnostics and
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observation for oil spill monitoring You are keen on contributing to new advances in deep learning methodology for earth observation. You will work on deep learning methods for detection of oil spills in
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programming and computational modelling as core elements. Questions about the position For further information please contact: Anthony Mathelier Assistant Centre Director anthony.mathelier@ncmbm.uio.no
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programming and computational modelling as core elements. Questions about the position For further information please contact: Anthony Mathelier Assistant Centre Director anthony.mathelier@ncmbm.uio.no
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triggers new questions about the locus of agency and learning these emergent collaboration ecologies. Such examinations may require in-depth qualitative analyses but also mixed-methods approaches, possibly