24 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:" positions at MASARYK UNIVERSITY in Czech
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Instructor or Assistant Professor of the Department of Health Sciences of the Faculty of Medicine MU
of Medicine MU – for the Intensive Care study program The Department of Health Sciences of the Faculty of Medicine MU is an educational and research institution of the Faculty of Medicine of Masaryk University
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The applicant must have: Completed university education in a doctoral programme (Ph.D.) in animal physiology or a related field Ability to perform independent teaching and experimental activities Excellent
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the medical field (with the title MD) or a master’s degree study program in the medical or related field or equivalent education attained abroad Professional experience in the given field, teaching experience
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for personal and professional growth, including participation in educational events and workshops Active use of English Opportunity to participate in the Erasmus+ program Employee benefits such as 6 weeks
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obtained abroad. Completed education in a doctoral study programme, or specialized professional competence in accordance with Act No. 95/2004 Coll. (for physicians, dentists, and pharmacists) or Act No. 96
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the international field Foreign experience Experience with extremophile research and connections to polar research (thanks to CCM's close cooperation with the Czech Antarctic Program) Informal inquiries about the
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physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Experience with molecular dynamics simulations (with GROMACS, OPENMM, LAMMPS, NAMD, AMBER, etc
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mission and move it forward. Main activities: Ensuring the proper functioning and development of the department in accordance with the faculty's strategic plan – see FSpS Document Server (muni.cz
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mission and move it forward. Main activities: Ensuring the proper functioning and development of the department in accordance with the faculty's strategic plan – see FSpS Document Server (muni.cz
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unintended consequences. The project relies on longitudinal school network data and advanced quantitative and computational methods. WHAT YOU WILL DO Work with longitudinal classroom network and survey data