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» Instrumental analysis Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 3 Apr 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Permanent Job Status Full-time
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) a PhD in Math, Computer Science, Physics, Artificial Intelligence or similar field/ related discipline obtained no more then five years prior to the application date* 2) proven experience in designing
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); keywords: natural language processing, robotics, biostimulants PhD-M: Assessing drought effects on grassland using IoT-enabled visual sensors. PhD grantors: Poznan University of Technology (PL) & INRAE (FR
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. Strong motivation and commitment. Collaborative team spirit. The candidate must meet at least one of the following criteria: The candidate is a PhD student in the Warsaw PhD School in Natural and
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other data is voluntary; however, failure to provide such data may hinder participation in the recruitment process. Detailed information about the Controller is available at: https://www.igf.edu.pl
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. Candidate's declaration about having full public rights. Candidate's declaration about unpunishability for intended offence or fiscal offence. LanguagesPOLISHLevelMother Tongue Research FieldEngineering
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of manual therapy, rehabilitation after orthopedic surgery, functional physiotherapy in joint injuries, knowledge of English at a minimum B2 level, knowledge of Polish sufficient to conduct classes with
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criteria will be personally invited to submit additional documents for a complementary position in a Doctoral School of Exact and Natural Sciences (download here: https://ast.umk.pl/panel/wp-content/uploads
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degree (PhD) in the humanities in archaeology or a related discipline; command of Polish (spoken and written); command of English at a minimum B2 level; experience working with KEZA data and knowledge
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) of Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data