Sort by
Refine Your Search
-
Listed
-
Field
-
(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets
-
from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
-
research focuses on the analysis of neuronal networks in the Drosophila brain, and the Hummel team currently consists of postdocs, pre-docs, master students and administrative colleagues who share a common
-
the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) - one of the largest quantum hubs in
-
the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) - one of the largest quantum hubs in
-
agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.03.2030 Reference no.: 5385 We invite you to join the Operational Quantum Information Team (Dakić Group) to work on a theoretical project on the
-
hours/week VwGr. B1 (prae doc), with relevant work experience determining the assignment to a particular salary grade. It is that easy to apply: The following information need to be submitted as one
-
applications of macrosopic quantum coherence in levitated solidstate platforms. Our Team is part of the Quantum Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics. We are member