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Website https://www.univr.it Requirements Additional Information Eligibility criteria For admission to the selection process referred to in Art. 1, potential candidates must fulfil the following
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radiochemistry which will provide the candidate with a unique set of skills towards the end of the PhD. References [1] Pharmaceutics, vol. 16, p. 906, (2021) [2] AIP Advances 11, 040701 (2021) [3] https
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21 Apr 2026 Job Information Organisation/Company Medicinski fakultet Osijek Research Field Medical sciences » Medicine Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Where to apply Website https
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Date Posted: 04/22/2026 Req ID: 47812 Faculty/Division: Faculty of Kinesiology & Physical Education Department: Faculty of Kinesiology & Physical Education Campus: St. George (Downtown Toronto
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Date Posted: 04/22/2026 Req ID: 47821 Faculty/Division: Faculty of Kinesiology & Physical Education Department: Faculty of Kinesiology & Physical Education Campus: St. George (Downtown Toronto
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(R1) Positions PhD Positions Application Deadline 17 May 2026 - 23:59 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job funded through
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Classification Title: Clin AST/ASO/FULL PROF Classification Minimum Requirements: Applicants must have a PhD. Must be Board-Certified or Board Eligible in Radiation Oncology Physics. Job Description
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. 240/2010), University of Pisa. PhD enrolment: The selected candidate will be enrolled as a supernumerary doctoral student in the PhD Programme in Artificial Intelligence at the University of Pisa (https
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: Doctoral degree (PhD) in physics or a MSc in mathematics, computational science or engineering Strong background in HPC and scientific computing and strong interest in numerical algorithms and