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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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language (written and spoken) is considered an advantage. Please refer to documentation requirements. Experience with epidemiology and statistical analysis, including the use of statistical software such as
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, redox states, and catalytic intermediates. You will work closely with colleagues spanning protein chemistry, spectroscopy, and computation to iterate design–build–test–learn cycles and to elucidate
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Computational Geosciences and Modelling at the NORCE Energy and Technology Department in Bergen. About the position The position is part of the Norwegian Research Council funded centre for environmentally
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compounds in collaboration and support with experienced radiochemists. The candidate will acquire and analyze PET/SPECT imaging data, perform kinetic modeling, and contribute to advanced image analysis
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security, aiding conservation and informing management policy. You will use advanced novel genomic approaches to assemble, annotate and explore the genome biology of a non-invasive and one of the most
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-modal spectroscopy (e.g., UV–Vis, NMR, EPR and complementary methods) to characterize metal coordination, redox states, and catalytic intermediates. You will work closely with colleagues spanning protein
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systems (RAS). You will be part of the Analysis and Control of Microbial Systems group (ACMS ), that is now integrated into the Microbial Biotechnology research group. We are passionate about conducting
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load