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Technologies for Engineering" is hereby established. These programmes are administratively based at the University of Sannio. Where to apply Website https://www.unisannio.it/it/amministrazione/avviso/20260294
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About the scholarship Application status: No application required Applicable study: PhD in Engineering Opening date: Closing date: By nomination Tenure: Up to 36 months For: Assistance with study
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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) Employment Type
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Local students applying for a place in a higher degrees by research (HDR) program will automatically be considered for an Australian Government Research Training Program (RTP) Fees-Offset (Domestic
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is entirely computational in nature, you will collaborate closely with experimental researchers working with cartilage microtissues and engineered biomaterials, e.g. for tuning and validating
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supervision. More information about the department: Department of Energy and Technology, https://www.slu.se/en/about-slu/organisation/departments/energy-technology Read more about staff benefits and life as an
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at the UKRI rate (£20,780 from 1/10/25). There is an enhanced budget for project costs (including travel) of £20,000. Applications are made to the Metamaterials programme for a PhD in Physics/Engineering. We
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biomedical technology, CSIRO and 4 universities to develop pioneering sports data science capability in the ‘green and gold’ lead-up to the Brisbane 2032 Olympic and Paralympic Games. The NGGP grants are aimed
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Warsaw University of Technology/Centre for Advanced Materials and Technologies, CEZAMAT | Poland | about 2 months ago
13 Aug 2026 Job Information Organisation/Company Warsaw University of Technology/Centre for Advanced Materials and Technologies, CEZAMAT Department Centre for Advanced Materials and Technologies
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high...