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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 months ago
available from GPS measurements. Analysis of TEC dynamics over ground-based GPS sites using network analysis is of major interest. Characterizing network topology, connections between TEC measurements
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will work in a stimulating context with leading expertise and broad networks in experimental methods, behavioral decision-making, sustainability accounting, and financial and risk analysis. The research
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focus on neutron spectroscopy as main analysis technique, supported by complementary experimental techniques or theoretical simulations Hands-on participation in experiments at large scale facilities as
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science. You are expected to actively participate in the department’s knowledge environments and networks, both internally and externally. You will be part of an international research project focusing
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- Spintronics - Data analysis - Scientific writing and conversational English Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6072-SOPRAS-011/Default.aspx Work Location(s) Number of offers
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cleaning of the meditation RCTs, including coding of PICOs and effect sizes; (b) collaborate with Dr. Sun and other members of the lab to conduct meta-analysis and network meta-analysis based on priority
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. To present their work at seminars and at external meetings. To contribute to the Donders scientific community through collaborations, workshops and talks. Where to apply Website https
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and will lead qualitative, participatory, and stakeholder-facing aspects of the project. They will design and run co-design workshops, contribute to analysis and evaluation, and work closely with
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle