172 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Vienna
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. The selected candidate will play an integral
-
. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as
-
Computer Science, ranging all the way from abstract mathematics and theoretical physics to high-performance numerical simulation algorithms. As a Senior Scientist in the “Quantum Information and Quantum Many-Body
-
administration in the field of comparative policy analysis and qualitative methods as well as in the research group CeSCoS (Centre for the Study of Contemporary Solidarity, led by Univ.-Prof. Dr. Barbara Prainsack
-
gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
-
using contemporary computational and theoretical methods. We employ and extend ab initio quantum chemistry to understand and predict structure and reactivity in the ground and electronic excited states
-
areas. Your future tasks: Successful candidates will actively participate in the training of archivists, further develop the training program in consultation with the archives, coordinate external
-
assistant predoc in Software Architectures 39 Faculty of Computer Science Job vacancy starting: 01.12.2025 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract
-
should qualify him/her for a doctorate as part of the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business management issues
-
• You have a Master’s degree in industrial engineering, information systems, business administration and/or economics, computer science or a related field. • You are familiar with methods