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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20260001T Position Title: Part Time
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availability of funding. Required Knowledge, Skills, and Abilities: *Ph.D. in Physics or related discipline is required within the last 5 years. *Candidates must have excellent written and oral communication
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Profile Recognised Researcher (R2) Positions PhD Positions Country Poland Application Deadline 30 Dec 2025 - 16:00 (Europe/Warsaw) Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer
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Education to implement strategies that enhance infrastructure, provide data and analysis, foster collaboration, streamline processes, and maximize opportunities for the achievements PhD graduate students and
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algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large
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http://about.unimelb.edu.au/careers/selection-criteria If you have any questions regarding the recruitment process, please feel free to contact Corey Menadue via email at hr-careers@unimelb.edu.au
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transcript evaluation. For a list of approved credential evaluation services visit: https://www.naces.org/members . (Unofficial transcripts are acceptable for the application process; official transcripts will
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California State University, San Bernardino | San Bernardino, California | United States | about 10 hours ago
://www.csusb.edu/english To find out more about the Speech Language Pathology Minor/Certificate program: https://www.csusb.edu/english/programs/certificate-programs/speech-language-pathology-preparatory-certificate
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both nationally and internationally. Today, the Division of Solid Mechanics consists of approximately 25 employees, of which around 15 are PhD students. The work environment is open and welcoming
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manufacturing to operation and maintenance. The PhD candidate will develop intelligent battery management strategies for V2X-connected Software-Defined Vehicles (SDVs) by leveraging artificial intelligence (AI