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Field
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FieldEnvironmental scienceYears of Research Experience1 - 4 Research FieldBiological sciencesYears of Research Experience1 - 4 Additional Information Selection process https://www.ubbcluj.ro/ro/infoubb/posturi_vacante
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computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic activities such as data collection and data entry. May lead specific
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. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800
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collaborative grant applications and awards Experience processing and sectioning brains, as well as associated histology Experience overseeing immunohistochemistry validation Experience developing workflows and
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Assistance: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu . If you require an accommodation for a
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Deadline: 17/03/2026 Opening of an international selection procedure for the recruitment of 1 Junior Researcher Under the terms of Order no. 13828/2025, of 20 November, by delegation of powers, the Director
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ESA Expert Support Laboratory for the SAR Mission Performance Cluster, has built advanced frameworks for SAR/InSAR processing that underpin large-scale InSAR-based ground motion services in Norway and
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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teaching duties. Requirements: Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 30 days ago
diseases (e.g.,dengue), using multi-model ensembles and scenario-based projections.The project combines process-basedeco-epidemiological models with statistical/ML approaches and health-economicmodelling