195 parallel-computing-numerical-methods-"Prof" positions at University of Vienna in Austria
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
” research group, led by Prof. Norbert Schuch. Our research lies at the interface of Quantum Information and Computation with the study of Complex Quantum Many-Body Systems. For this, we apply a combination of
-
for Constitutional and Administrative Law (Department Prof. Damjanovic) of the University of Vienna has a vacancy for a university assistant ("prae doc"). The focus of the position is on public economic and
-
social research methods High level of written and verbal communication skills Very good command of written and spoken German Very good command of written and spoken English Very good computer literacy
-
better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: As a University Assistant Praedoc you will complement the team of Univ. Prof. Dr
-
of Univ.-Prof. Dr. Nuno Maulide at the Faculty of Chemistry is seeking a postdoctoral researcher with experience in Organic Synthesis Chemistry and Natural Product Synthesis for a fixed term of 4 years
-
together! Your personal sphere of play: Your future position is at the Department of Statistics and Operations Research, and you will join the research group led by Prof. Christa Cuchiero to work at the
-
of Computer Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3
-
Prof. Magdalena Pöschl and you will take over tasks like active participation in teaching as well as in research and publication projects. The focus of our research is on Public Law. The position is
-
applications for a praedoc position in the group of Prof. Christoph Dellago. The group develops computer simulation techniques and uses them to study a broad range of condensed matter systems with an emphasis
-
the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing