97 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at University of Vienna
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curiosity-driven research project in the field of electronic structure theory and ultrafast quantum dynamics You will present your research plan to the faculty and complete a dissertation agreement within 12
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-ecology-evolution.univie.ac.at/phd-programme/vdsee-completion-grants/ to apply and to find detailed information on requirements and application documents. Applications must be submitted via the VDSEE
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website https://vds-ecology-evolution.univie.ac.at/phd-programme/vdsee-completion-grants/ to apply and to find detailed information on requirements and application documents. Applications must be submitted
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of Pharmaceutical, Nutritional and Sport Sciences (VDS-PhaNuSpo) at the University of Vienna offers doctoral students a scientific education at the highest level. It is the largest doctoral training programme in
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the team! It is that easy to apply: Application documents should include: letter of motivation including time plan for doctoral thesis milestones that will be achieved in the duration of the short-term
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and spoken English IT skills, especially in the area of word processing, PowerPoint, study administration programs and e-learning programs Organizational and teamwork skills First practical experience
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mathematical understanding Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python Strong ability to work in teams Perseverance and ability to make
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of Romance Studies offers Bachelor’s, Master’s and PhD degree programs in five Romance languages and teacher-training courses for secondary schools in three languages (French, Italian and Spanish
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certificate of a completed PhD programme (required before the start of the contract) and contact details of 2 persons for reference, to be sent directly to olga.mula.hernandez@univie.ac.at referencing the job
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writing Experience with data Good programming skills (Python / javascript / D3 / C++) Tableau Background in or experience creating data visualizations Experience with quantitative research methods (e.g. in