Sort by
Refine Your Search
-
of Physics. Your future tasks: Conducting instructional teaching in the experimental physics core modules, particularly in the laboratory courses of the Bachelor`s programme in Physics and the Bachelor's
-
stiffness. The project will be computational in nature, involving monomer-resolved simulations of such macromolecules, calculating properties such as diffusivities and relaxation functions and performing
-
skills Good computer skills Excellent command of written and spoken English Team player with high social/communicative competence Flexibility and commitment What we offer Work-life balance You have
-
expected to support the Department in IT and computing matters. The position comprises 20 hours per week and is initially limited to one year, with the possibility of extension. Your future tasks: Planning
-
, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant The Faculty
-
or related fields Successful VBC PhD program Selection or similar international PhD Selection required Practical experience in single-molecule biochemistry Experience with basic bioinformatics tools High
-
. The Centre for Teacher Education is the organizational focal point for all questions regarding the teacher education programme at the University of Vienna. In cooperation with the other faculties and centres
-
. As a Senior Lecturer, you will be involved in both Bachelor's and Master's teaching, as well as in the teacher training program for geography and economic education. The working time of 20 hours/week
-
and determination? We are currently seeking a/an University assistant predoctoral at the RG Neuroinformatics (NI) 39 Faculty of Computer Science Job vacancy starting: 01.06.2025 | Working hours: 30.00
-
: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge