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checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful completion of relevant pre-employment checks
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 4 hours ago
Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2026-EDF How to Apply Click on Apply below to start your application. Mentors are actively seeking candidates
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-wave). Ability to perform advanced complex network analysis (preferably with experience on NetworkX). Ability to obtain advanced graphics (e.g. seaborn). Code in Python, C and BASH. Why Texas A&M
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asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means
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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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. You will have appropriate knowledge of relevant software tools for this work, including coding in python or C, and experience with standard laboratory equipment for detector development. About the
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. The ideal candidate will have: Experience in developing novel algorithms. Experience in coding in python and preferably C/C++. Experience in frontend engineering, including but not limited
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occupation code for this role is 2112, which is on the immigration salary list. For further information and details of how to apply, please click on the ‘Apply’ button above or contact the Human Resources team
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- (parental) separation and its implications for gender equality. Responsibilities : Data collection, principally documents in French Interviewing (in French) Qualitative data analysis (i.e., coding) using
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-POSITIVE), we will code and analyse children and parents’ behaviours when presented with a challenging task after an easy task. Objective 3 (Study 3): Investigate how early achievement-related experiences