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the writing stage of their programs. Students who have received a previous CSRS award at the MA level may only reapply after they are registered in a PhD program. PhD students may hold a CSRS fellowship only
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Internal Training Medical insurance – including 100% paid employee medical coverage for full-time employees Dental Insurance Vision Insurance Long and short-term disability Retirement Plan Options Paid time
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& Qualification needed PhD in Economics (or related discipline) or equivalent experience. Extensive knowledge - in microeconomics to design/deliver teaching programmes and the provision of learning support, of a
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-time students on a pro-rata basis. The course should be completed with no gaps in study to retain the full bursary amount. PHD / Postgraduate Research courses are not eligible for this bursary. How
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that are leading the way in emerging technologies through programs such as computer engineering, information technology, and ocean engineering. We’re developing the next generation of business leaders, while also
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Oxford-DeepMind Graduate Scholarship (Computer Science) The Oxford-DeepMind Graduate Scholarships (Computer Science) are available for applicants to any full-time DPhil course within, or affiliated
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Harvard University Faculty of Arts and Sciences | Cambridge, Massachusetts | United States | 3 months ago
Rewards website (https://hr.harvard.edu/benefits-wellbeing ) to learn more about our outstanding benefits package, which may include: Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks
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or nearing the completion of a relevant PhD. Essential skills include hands on experience with mechanical characterisation of biological entities and investigation of their flow patterns inside closed systems
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coordinator for all lab organizations, clinical data management, research website maintenance, clinical coordination in experiments, group meeting minutes organization Aiding in developing an AI machine
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, including: (i) estimating heterogeneous effects using RDD and causal machine learning methods; (ii) modeling dynamic longitudinal health data; and (iii) developing and refining statistical models and tools