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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Unit Our primary mission is providing instruction of the highest quality in physics and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural
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*. * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities. Candidates are asked to self-declare when applying to this hiring process. City: Mirabel
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sections of the community regardless of sex, ethnicity, disability, sexual orientation, trans identity, relationship status, religion or belief, caring responsibilities, or age. In supporting our employees
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Feutrill Award is offered to PhD students travelling to conferences in organic chemistry outside of Victoria. Benefits This award provides a one-off payment of around $500 to $1000. Funds may be split
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for advanced training in science or engineering. NSF Graduate Research Fellowships are awarded for graduate study leading to a research-based master’s degree or PhD in a relevant field. NSF Graduate Research
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Posting Title Graduate PhD Student Intern (Summer) – Mathematical Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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Midlands Graduate School Doctoral Training Partnership; | Loughborough, England | United Kingdom | 3 months ago
background in psychology or education. Application Process To be considered for this PhD, please complete the Collaborative Studentship application form available online via the'Apply' button above. Applicants
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Posting Title Graduate PhD Student (Year-Round) Machine Learning Applications for Cyber-Physical Power System Operations Intern . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per
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in using digital applications for research and pedagogy, will be given preference. General Requirements Applicants should have obtained / been conferred a PhD degree in history or a related discipline
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to