66 computational-physics "https:" "https:" "https:" "https:" "University of Kent" positions at MASARYK UNIVERSITY
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related fields such as information studies, design, HCI, education, social sciences, computer science, etc. – required Completed or ongoing Ph.D. doctoral program – preferred International profile
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of software engineering and programming at the bachelor as well as master level within the study programmes of the Faculty of Informatics of Masaryk University (FI MU): https://www.fi.muni.cz/catalogue-current
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websites: https://ecrin.org/ , https://creatic.muni.cz/ , CZECRIN.cz . The scope of your work will be: Regular and systematic management of the CoE CREATIC and VVI CZECRIN social media channels. Searching
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are unsure, please contact the FF MU Personnel Office: Mgr. Lída Oplatková, email: oplatkova@phil.muni.cz SELECTION PROCESS Selection criteria: submitting of all required documents in the e-application
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Platinum(II) Drugs. Inorganic Chemistry Frontiers , 2024, 11 , 8510-8525. https://doi.org/10.1039/D4QI02012J . Ideal candidate profile: Must-have qualifications: MSc or equivalent degree (preferably in
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Romance language – an advantage Requirements related to job content Basic computer skills at the user level with office and communication applications (MS Office, MS Teams, Zoom, etc.) Ability to use modern
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the FF MU Personnel Office: Mgr. Lída Oplatková, email: oplatkova@phil.muni.cz SELECTION PROCESS Selection criteria: submitting of all required documents in the e-application compliance of the candidate's
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, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences
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and the socio-environmental and geographical situatedness of work environments in the ancient Roman Empire contributed to the spatial spread of ancient cults. Using computational methods, the project
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-environmental and geographical situatedness of work environments in the ancient Roman Empire contributed to the spatial spread of ancient cults. Using computational methods, the project examines how