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3 Jul 2026 Job Information Organisation/Company University of Rzeszów Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 4 Aug 2026 - 11:00 (Europe/Brussels) Country Poland Type of Contract To be defined Job...
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Infrastructure? No Offer Description DEAN OF THE FACULTY OF FACULTY OF MEDICINE OF THE UNIVERSITY OF RZESZÓW announces an open recruitment procedure for the position of assistant professor in the group of teaching
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Infrastructure? No Offer Description DEAN OF THE FACULTY OF FACULTY OF MEDICINE OF THE UNIVERSITY OF RZESZÓW announces an open recruitment procedure for the position of assistant in the group of teaching staff
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, item 1571, as amended) Selection process • Application deadline: 31 of August 2026 (09:00 AM; CEST); • Results will be announced within 30 days after the application deadline. Additional comments A
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Infrastructure? No Offer Description DEAN OF THE FACULTY OF FACULTY OF MEDICINE OF THE UNIVERSITY OF RZESZÓW announces an open recruitment procedure for the position of assistant in the group of teaching staff
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Infrastructure? No Offer Description DEAN OF THE FACULTY OF FACULTY OF MEDICINE OF THE UNIVERSITY OF RZESZÓW announces an open recruitment procedure for the position of assistant in the group of teaching staff
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of the Institute of Physiotherapy, in particular in the recruitment process for the English-language programme, supporting students on the English-language programme, and developing international cooperation
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documentation • operation of diagnostic equipment to the extent necessary for the educational process • developing and updating teaching materials and syllabi for the courses taught • conducting
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Infrastructure? No Offer Description DEAN OF THE FACULTY OF FACULTY OF MEDICINE OF THE UNIVERSITY OF RZESZÓW announces an open recruitment procedure for the position of assistant in the group of teaching staff
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scienceEducation LevelMaster Degree or equivalent Skills/Qualifications • a degree in computer science; • proven experience in the field of computer vision, particularly in the areas of motion analysis and action