47 postdoc-molecular-dynamics-simulation Fellowship positions at University of Oslo in Norway
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
conduct catalytic experiments using advanced transient methods based on mass-spectrometry and develop mathematical models to interpret these data in terms of molecular mechanisms. International
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postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors. Questions
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candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in close contact with the research and user partners
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focused on delineating the biogenesis of subsets of NK-EVs using state-of-the art molecular and cell biological tools, and understand how NK cells regulate their release. This work will be tied up with
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. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome profiling, or CAGE data
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students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full
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topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of
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and related topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees
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be possible, depending on the interest of the PhD candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in
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to complete the final exam. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome