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: Marist University welcomes applications for the position of Coordinator in the Office of First Year Experience and Leadership Development. The Coordinator serves as an integral member of the Student
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: https://www.ubjobs.buffalo.edu/postings/61695 Job Type: Full-Time Posting Detail Information Position Summary The Supervisor, Enterprise Application Services position coordinates the day-to-day operations
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Brest, Bretagne | France | 1 day ago
or collective training actions. We have a CSR policy inspired by the purposes of the institute (sustainable mobility allowance, etc.) Selection process How to apply? Your application file must include in a pdf
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. Applicants are expected to have a PhD (or nearing completion) in synthetic or supramolecular chemistry, chemical biology or biomaterials, with experience of molecular and cell biology. Experience working with
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Stanford Cancer Center Pediatrics Postdoc Appointment Term: Two years Appointment Start Date: 1/1/2026 Group or Departmental Website: http://www.sheltzerlab.org (link is external) How to Submit Application
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at the bottom of this opportunity listing. Please do not send application materials to the email address above. Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App
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, https://orcid.org/0000-0003-3224-2103 , putinas.kalinauskas@ftmc.lt Topic Description: The development of efficient and stable photocatalysts composed of earth-abundant elements is a central challenge for
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, phone number (mobile number if appropriate), and email address. Questions should be directed to: Shingo Ishida, shingo.ishida@cuanschutz.edu Screening of Applications Begins: Applications will be accepted
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» Nutritional sciences Chemistry » Biochemistry Chemistry » Analytical chemistry Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a