39 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Vienna
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the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF project
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, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at
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Programme? Not funded by a EU programme Reference Number FT0226HOB Is the Job related to staff position within a Research Infrastructure? No Offer Description The University of Vienna is internationally
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and Master), and in two doctoral programs. Details on the department can be access on http://geographie.univie.ac.at/en/home/ . Your personal sphere of influence: The position is assigned to the working
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: Female applicants (inclusive understanding of gender identities within the legal framework and the University’s Equality Plan: https://satzung.univie.ac.at/alle-weiteren-satzungsinhalte/frauenfoerderungs
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of gender identities within the legal framework and the University’s Equality Plan: https://satzung.univie.ac.at/alle-weiteren-satzungsinhalte/frauenfoerderungs-und-gleichstellungsplan/ PhD awarded by
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personality: Female applicants (inclusive understanding of gender identities within the legal framework and the University’s Equality Plan: https://satzung.univie.ac.at/alle-weiteren-satzungsinhalte
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(inclusive understanding of gender identities within the legal framework and the University’s Equality Plan: https://satzung.univie.ac.at/alle-weiteren-satzungsinhalte/frauenfoerderungs-und-gleichstellungsplan
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programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive