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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
insurance schemes Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from
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information (PDF, 166 KB) Information for hosts Information on letters of recommendation Fellows in portrait Recently selected fellows Previous 01/02Next Play Video Hint The video is being loaded by
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or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity
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reviewing research products such as interview guides, coding frameworks, and knowledge translation materials. Education/Work Experience: The candidate must have completed a PhD within 5 years in a relevant
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such as interview guides, coding frameworks, and knowledge translation materials. Education/Work Experience: The candidate must have completed a PhD within 5 years in a relevant discipline (e.g. public
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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B
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under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-APHIS-2025-0062 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of the Interior (DOI) Reference Code DOI-USGS-2025-14 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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interest and expertise in computer science research with a focus on machine learning methods for the health domain strong coding skills and familiarity with state-of-the-art machine learning frameworks We