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large-scale simulation data effectively. - Ability to conduct independent research while collaborating successfully in a multidisciplinary team, with a record of scholarly publications that reflects
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, leadership, and data science. Special training for writing successful ERC Starting Grants as a ‘ticket’ to an outstanding academic career. Being part of a thriving academic and social community in Vienna, one
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statistical analysis of climate data. Experience working with large climate datasets using tools like xarray Salary, benefits, appointment length, and start date The minimum starting salary (for a candidate
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, the CREDO project will determine how religious belief affects the strength of religious priors during normative decision-making in various laboratory and field studies. Moreover, in a large-scale cross
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
research accomplishments and goals, and a list of three references. Applications will be considered on a rolling basis Community Information Columbia offers small-town friendliness with big city features and
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Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking
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of forest-protecting bioeconomy value chains for tropical forests, as well as projects in bioproducts and bioprocessing in collaboration with industry. The post-doc will be working on a large team and will be
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Requisition Id 14907 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Comprehensive Cancer
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. Quantifying circular economy strategies for wind turbine rotor blades, including reuse, recycling, and feedback loops. Assessing the climate mitigation potential of circular construction materials through data