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on the CO power spectrum of the early universe. Its nominal sensitivity is close to the predicted signal range for a broad range of currently popular models, suggesting that a first cosmic CO detection could
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. Project description The position is funded by EU Horizon and part of the Marie Sklodwoska-Curie Doctoral Network NeuroNanotech : ‘Integrating Nanotechnology and Neurocomputational Modeling for Advanced
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the observed data. The models can build on recent research results in foundational neural network models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/287578/phd-research
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. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic deformations and wetting-like processes at cellular membranes. The theoretical
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-model bacterial species (ideally in a BSL-2 environment), mass spectrometry (ideally in combination with chemical crosslinking or other pulldown assays), or cell-culture based infection assays with BSL-2
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of Earth and our solar system, is to develop predictive models to identify habitable planets around other stars. PHAB research activities comprise three interrelated research themes: (1) Planets and Early
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currently popular models, suggesting that a first cosmic CO detection could be imminent. COMAP is led by Caltech, and is supported by an international collaboration that includes University of Oslo, NASA’s
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analysis (core and borehole), the integration of new data and concepts with existing seismic models. The project will involve collaboration with industry partners and other scientific teams. The candidate
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Consolidator Grant. The candidate would be responsible for day-to-day management of a work package that centers on laboratory testing of a newly discovered human genetic knockout model population, as
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measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models