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, The Norwegian Centre for Knowledge-driven Machine Learning (ML), a center of excellence funded by the Research Council of Norway. The center is in operation from 2023 to 2033 and will fund more than 60 PhD and
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the biophysical processes as droplets wet membrane compartments in cells. Numerical simulations and theoretical models will be developed of the viscous interfacial fluid flow at cellular membranes alongside
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´omics data, as well as processing of neuroimaging data from relevant datasets, including international and Norwegian samples. Interpret and write up results from the prediction framework and further
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) excellent English scientific writing skills proficiency in programming and scripting languages (e.g., R, Python and/or Matlab) experience with data processing and statistical analysis, including familiarity
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placed on academic qualifications, the candidate’s motivation, and personal suitability. Interviews will be performed as part of the selection process. Application with attachments must be submitted via
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visits and research stays at NBI are expected. Relevant tasks may be a combination of: • Sample processing. • Investigation of defect formation and thermodynamic stability in silicon • Optical
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on the understanding of how the biophysical processes as droplets wet membrane compartments in cells. Numerical simulations and theoretical models will be developed of the viscous interfacial fluid flow at cellular
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way. At our research environment, we seek to understanding the origins and processes governing stability and discontinuity of biological and geological systems at different levels of organization from
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in testing and handling of engineering and flight models of spacecraft equipment, preferably CubeSats. Experience in working in a clean room environment. Experience with signal processing. Experience
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in the assessment of the applicants: Experience with electrical circuits, oscilloscopes, wave-form generators, and digital signal processing will be prioritized Experience with gas handling and vacuum