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of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo. Starting date no later than 01.10.2026. The fellowship period is three years. A fourth year may be considered and it will involve 25
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complex analysis skills for industrial problem scenarios. This will enable publications at prestigious conferences and in scientific journals. Therefore, this position opens up great opportunities for a
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to develop skills in manuscript preparation, research presentation, and domestic and international collaboration with other USDA and non-USDA researchers to address complex questions in livestock disease
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redistribution of snow across catchment and regional scale areas. The PhD candidate is further expected to quantify, through a combination of in-situ observations and climate and snow models of varying complexity
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industry. Together, we develop and apply advanced biometry, data science and methodologies to the design and analysis of complex experiments, field trials and novel research projects. The CCDM provides a
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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based on gas compression become inefficient or impractical, as suitable compressible gases no longer exist and the required infrastructure becomes prohibitively complex and energy intensive. Solid-state
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for nucleic acid/ protein systems and their complexes with small ligand-like molecules. Familiarity with NMR data acquisition and analysis for characterising dynamics is advantageous. Strong scientific writing