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Associate I, Neuroscience Posting Number req25662 Department Neuroscience Department Website Link http://neurosci.arizona.edu Location Tucson Campus Address Tucson, AZ USA Position Highlights A postdoctoral
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this early phase of settlement, particularly the routes taken. Main tasks: - Conduct demographic modeling analyses based on human genomic data. - Write a manuscript based on the results of the analyses
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future change), which utilises the geological record of glacial change during the last glacial-interglacial transition to isolate seasonal climate parameters needed for modelling future climate. The
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Resources into Bioproducts and Bioenergy.” Required Expertise The candidate must demonstrate proven experience in: - Renewable hydrogen production; - Proficiency in thermochemical modeling and process
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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Functionalization reaction on molecular model substrates Polymer synthesis by chemical post-modification Physico-chemical characterization of polymeric materials at different scales Writing of reports and articles
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 28 days ago
), financed by national funds through FCT Workplan: The main objective of the fellowship will be to study the effects of heterogeneity in spatially-structured or host-structured multi-species models governed by
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be negotiated based on the selected candidate's availability. Group or Departmental Website: https://we3lab.stanford.edu/ (link is external) How to Submit Application Materials: Please apply via
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, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for
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. This postdoctoral position at KTH focuses on developing advanced modelling frameworks and techno-economic analyses within two national research projects addressing virtual energy sharing and large-scale