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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 17 days ago
listed in Annex I of the Universidade NOVA de Lisboa Research Fellowship Regulation. This amount includes personal accident insurance and, if applicable, voluntary social security corresponding
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indicated above, may result in its exclusion. Form of publication/notification of results: The results of the evaluation will be published through an ordered list by final grade obtained on the site
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: Hourly Salary Grade: 114 UC Job Title: CLIN NURSE 2 UC Job Code: 009139 Number of Positions: 5 Appointment Type: Staff: Career Percentage of Time: 100% Shift (Work Schedule): Variable Location: Main
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account and check the status of your application. If you have questions, send an email to AIRFORCE@orise.orau.gov. Please list the reference code of this opportunity [AFIT-2025-0016] in the subject line of
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-NEA-2025-0095 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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the start date of the position. We are looking for applicants with: a strong interest and expertise in computer science research with a focus on machine learning methods for the health domain strong coding
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. Selection process l. Selection process Applicants will be selected based on their curricular evaluation. In case of equivalent curricular profiles, the best-positioned applicants should be short-listed
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(CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a unique opportunity for specialisation and personal
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. Coordinates transfer of care as applicable. POSITION INFORMATION Salary or Pay Range: $73.72 - $99.20 Salary Frequency: Hourly Salary Grade: 114 UC Job Title: CLIN NURSE 2 UC Job Code: 009139 Number
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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and