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, including AI-based methods. The project associated with this position aims to take advantage of a virtual library of more than 1 million organometallic bifunctional catalysts, optimised for hydrogenation and
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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, physics, engineering and pharmacy to explore mechano-adaptation as a targetable vulnerability in the most aggressive brain cancer, Glioblastoma. The successful candidate will work closely with 3 other PhD
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UiO/Anders Lien 1st April 2026 Languages English English English PhD Research Fellow in functional genomics Apply for this job See advertisement About the position We invite applications for a PhD
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to the Ph.D. degree. Read about admission to the Faculty's PhD program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship/index.html Advanced statistical and quantitative skills
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interest since 2000. It allows us to better plan our cities, and new approaches have been made possible with the widespread use of smartphones carrying several different sensors. As a matter of fact, in most
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in
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are encouraged to contact Emil A. Stoltenberg (emilas@math.uio.no ) for an informal discussion about possible topics of research related to the themes outlined above. A mature and independent candidate may also
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. The GLIOFORCE team merges world-class expertise in biomedicine, physics, engineering and pharmacy to explore mechano-adaptation as a targetable vulnerability in the most aggressive brain cancer, Glioblastoma
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Palma, to several satellites such as ESA’s Solar Orbiter, NASA’s IRIS and SDO, and in the near future MUSE. The group is a major user of local and national High-Performance Computing facilities. RoCS, and