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Apply Now How to Apply As a single PDF document, please submit the following materials to Interfolio (https://apply.interfolio.com/183658 ): A cover letter that addresses your specific interest in
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 22 hours ago
Physics or related field. Preferred Qualifications Preferred qualifications include: PhD in Physics, Astrophysics, or related fields. Demonstrated teaching effectiveness in university level physics. Tenure
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: PhD or Clinical Fellowship qualifications are highly desirable. Knowledge of pedagogical theories and contemporary educational practices. Role Requirements As this is a continuing contract, you will
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on scholarship and provide professional guidance. Fellows will be provided an annual salary of $75,000, full benefits, and a research account of $4,000 per year. Eligibility is limited to candidates whose PhD will
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an ARC Discovery Project in conjunction with support from Curtin University. The purpose of the scholarship is to support a PhD student to carry out research in quantum collision theory. Currently
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra Information Research Scholarship
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the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF
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to apply Website https://academicpositions.com/ad/vrije-universiteit-brussel/2026/phd-in-medical… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research FieldEngineeringYears
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Apply now Job no:535374 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science Department: CAS CIS Computer & Information Science Rank
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of deep learning in many disciplines, particularly computer vision and image processing. Consequently, coding architectures based on deep learning and end-to-end optimization have been proposed [Ding 2021