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reconstruction and representation, neural and point-based representations, efficient rendering and visualisation, high-performance computer vision, efficient machine learning, dynamic and multimodal scene
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sciences, geoinformatics, physics, computer science, or a related field. Strong programming skills, for example in Python or R, are required. Experience with point cloud processing, terrestrial or airborne
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concentrates drug carriers within the target region and subsequently triggers localized drug release, achieving high therapeutic concentrations exclusively at the desired site while minimizing systemic
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foundations in mathematics, statistics, and machine learning, combined with solid programming skills (e.g., Python) A strong interest in both foundational machine learning research and applications in
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triggers localized drug release, achieving high therapeutic concentrations exclusively at the desired site while minimizing systemic exposure. The chemical formulation and engineering of these
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Raman and autofluorescence micro-spectroscopy, available at the Department of Physics of the University of Oslo (UiO). The starting date is no later than 1 April 2027. The fellowship period is three
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research topics and demonstrate strong motivation. We are particularly interested in applicants with a strong foundation in machine learning/deep learning and medical image processing, excellent Python
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transcriptomics pipelines. High proficiency in standard programming languages used in bioinformatics (e.g., Python and/or R) and familiarity with working on large-scale computer servers. A strong history of
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Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of
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, programming, and statistical analysis. The Research Scientist develops and maintains advanced analytical workflows using tools such as MATLAB , Python, LabVIEW, SPSS , and Stata. Experience working with