103 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at Nature Careers in Austria
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
salary. As a university assistant prae doc, you will complement the research team around Univ.-Prof. Dr. Dr.h.c. Paul Oberhammer. The employment duration is 4 years. Initially limited to 1.5 years
-
personal development. Your personal sphere of influence: As a university assistant prae doc, you will join the research team led by Univ.-Prof. MMag. Dr. Michaela Windisch-Graetz in the field of labor and
-
, including participation in evaluation measures and quality assurance. What we expect from you: Outstanding records in a doctoral program and strong demonstrated ability or potential for high-quality research
-
The Institute of Science and Technology Austria - ISTA is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for the PhD program. We offer fully-funded PhD
-
for a/an University assistant predoctoral 39 Faculty of Computer Science Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5431
-
part of the doctoral program "Educational Innovation Needs Educational Research." As a University Assistant Praedoc, you will join the research team led by Prof. Susanne Schwab (Chair of School Pedagogy
-
be enrolled on the Doctoral Programme in Pharmacy at the University of Vienna. Recipients will be employed as university assistants predoctoral at the Department of Pharmaceutical Sciences. At the time
-
transdisciplinary teaching and research program. Candidates should have a proven track record in both theory and empirical research in the field of development studies. Experience, particularly in qualitative social
-
integrative modelling. The successful candidate will develop and lead an independent research programme and contribute to the establishment of new cryo-EM infrastructure at the Max Perutz Labs, including a 300
-
curiosity-driven research project in the field of machine learning in computational materials science. You will present your research plan to the faculty and complete a dissertation agreement within 12-18