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21 Aug 2026 Job Information Organisation/Company University of Ostrava Department Faculty of Education Research Field Educational sciences Researcher Profile Recognised Researcher (R2) Positions PhD
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://cs.mff.cuni.cz/en/for-students/employment-program-for-phd-students or from the department head. The employment contract is for a fixed term, namely for the period during which the employee is a student of a
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://cs.mff.cuni.cz/en/for-students/employment-program-for-phd-students or from the department head. The employment contract is for a fixed term, namely for the period during which the employee is a student of a
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://cs.mff.cuni.cz/en/for-students/employment-program-for-phd-students or from the department head. The employment contract is for a fixed term, namely for the period during which the employee is a student of a
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://cs.mff.cuni.cz/en/for-students/employment-program-for-phd-students or from the department head. The employment contract is for a fixed term, namely for the period during which the employee is a student of a
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://cs.mff.cuni.cz/en/for-students/employment-program-for-phd-students or from the department head. The employment contract is for a fixed term, namely for the period during which the employee is a student of a
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://cs.mff.cuni.cz/en/for-students/employment-program-for-phd-students or from the department head. The employment contract is for a fixed term, namely for the period during which the employee is a student of a
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 20 Sep 2026 - 23:59 (Europe/Prague) Country Czech Republic Type of Contract Temporary Job Status Full-time Hours Per
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chemistry, microfluidics/mass spectrometry, chemical sensing, and complex molecular systems. General requirements: Applicants should hold a PhD in graph theory, combinatorics, computer science
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
across European life-science AI efforts. Requirements PhD in computational biology, bioinformatics, machine learning, or a related computational field Hands-on experience with foundation models / large