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marine microorganisms to conduct processing, statistical analysis, integration and visualization of marine microbial sequence-based datasets. The candidate will drive the development of bioinformatics
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 29 days ago
methods, parallel programming models, and hardware platforms when we apply them to the CFD problem of simulating the sloshing motion of a fluid within a moving tank. The purpose of these experiments
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experiments. The work includes the use of both classical and molecular tools. Using bioinformatics, coevolution dynamics will further be investigated in natural environments and across different life
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and similar. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/309297/postdoctoral-research-fellow-in-bioinformatics-at-the-kg-jebsen-centre-of-obesity-research
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analysis, aimed at understanding how the human brain encodes information. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | about 1 month ago
Vitroscope AS in collaboration with SINTEF and NTNU. The project aims to develop an AI-enabled automated platform capable of operating and monitoring 96 parallel cell-culture experiments under precisely
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research directions within the CISU context. The candidates' parallel projects enable direct comparison and knowledge transfer across urban contexts. Both candidates will be part of SFI-CISU, which during
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degree or an equivalent in the field of molecular genetics, medicine, genetic epidemiology, statistical genetics, medical data science, or bioinformatics. The applicants must also provide an
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between complex, often opaque data processing in smart environments and individuals’ ability to understand and exercise their privacy rights. Drawing on privacy-enhancing technologies, computational
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. The project responds to a growing mismatch between complex, often opaque data processing in smart environments and individuals’ ability to understand and exercise their privacy rights. Drawing on