Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
studies, history or related social science and humanities disciplines and are you open to interdisciplinary research? We are looking for four PhD candidates to join the newly founded Research Platform
-
to make a meaningful impact? Vienna Doctoral School in Chemistry - Doctoral Positions (STEM CALL 2026) 174 Research Services and Career Development Working hours: 30 | Collective bargaining agreement: §48
-
): Applications are submitted exclusively via the University of Vienna PhD Selection Tool. Please follow the “Apply” button on the Call website . Please provide the following information and documents for upload
-
): Applications are submitted exclusively via the University of Vienna PhD Selection Tool. Please follow the “Apply” button on the Call website . Please provide the following information and documents for upload
-
of current open science practices (e.g., interest in designing and preparing one of the PhD papers for journal submission as a Registered Report, see https://www.nature.com/articles/s41562-021-01193-7
-
teaching and research administration This is part of your personality: Master’s degree in Computer Science, Business Informatics, Information Systems, Data Science, Math or an equivalent qualification with
-
culture of our team and the Department. You will require: Completed Ph.D. / Doctoral degree in the atmospheric sciences (e.g., meteorology, climatology), or a related field; Strong programming skills; Data
-
techniques, including tissue culture, Western blotting, and flow cytometry. An Analytical Edge: You don’t just collect data; you enjoy the "puzzle." You possess sharp analytical thinking and the problem
-
conferences Involvement in the department administration as well as in teaching and research administration This is part of your personality: Doctoral degree/PhD degree (in education or social sciences) with a
-
” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research in a machine translation/large language models (LLM