Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- University of Vienna
- Universität Wien
- Johannes Kepler University
- University of Innsbruck
- Graz University of Technology
- TU Wien
- University of Graz
- Technische Universität Wien
- University for Continuing Education Krems
- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
- 1 more »
- « less
-
Field
-
facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You actively participate
-
and in internationally peer-reviewed journals desired German language skills: C1 level according to CEFR, English proficiency: B2/C1 Relevant computer skills Sense of responsibility, independence
-
: DC7: Machine-learning-guided enzyme engineering for improved activity of enzymes to produce biopolymer precursors. DC9: Machine learning-guided enzyme engineering for improved lactone production
-
for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In
-
projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete your dissertation agreement within 12-18 months. You will work on your dissertation and its
-
the opportunity to also contribute to our well-established collaboration with the Faculty of Electrical Engineering and Information Technology. Applications such as Machine Learning are driving up computational
-
Archaeology Excellent computer skills (GIS, databases) Driving license (category B) Language skills: excellent command of English; very good knowledge of additional modern languages is an advantage Social
-
Prompting Strategies and Eco-Feedback for Efficient Use of Large Language Models A summary of the planned project is available at https://computational-sustainability.at/HAI4S/ . The dissertation will be co
-
interactions help facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You
-
Willingness to participate in ongoing research projects of the Division of Prehistory and Early History Practical experience in geoarchaeological laboratory work Excellent computer skills (GIS, databases