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vitro and in vivo cell based assays, animal surgical models). - Contribute substantively to the preparation of extramural grant proposals (e.g., R01, program project grants, U01, STTR/SBIR, DoD mechanisms
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characterization of various coupled silicon nitride nanoelectromechanical oscillators and measurement of reservoir computing based on programmed FPGA scheme, (ii) development of multi-physics models in both
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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7 Sep 2026 Job Information Organisation/Company Fundació per a la Universitat Oberta de Catalunya Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions Postdoc
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important to integrate knowledge on processes of cognitive change and updates among individuals and in interaction with others into our data-driven computational modelling in order to understand broader
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in Cultural Heritage Informatics and have experience in semantic web technologies and standards (RDF, SPARQL, OWL), including data modeling and transformation, preferably with the CIDOC-CRM and related
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models and human clinical samples to investigate the causal roles of the microbiota and microbiota-derived metabolites in the pathogenesis of endometriosis. The Postdoctoral Associate will work at the
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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highly motivated postdoctoral candidate with a background in biogeochemical modelling. You must have successfully completed a PhD programme in Earth Sciences, Environmental Sciences, Biology or a related
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven