Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Vienna
- Nature Careers
- AIT Austrian Institute of Technology
- IST Austria
- ;
- BBMRI-ERIC
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- European Magnetism Association EMA
- Insitute for Human Sciences (IWM)
- TU Wien
- University of Graz
- University of Sheffield
- academy of fine arts vienna
- 3 more »
- « less
-
Field
-
digitalisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture
-
integrative modelling. The successful candidate will develop and lead an independent research programme and contribute to the establishment of new cryo-EM infrastructure at the Max Perutz Labs, including a 300
-
tasks: You will actively participate in research, teaching and administration, which means in particular: Establishing and developing an independent research profile with a focus on the legal history
-
the morphological, molecular, and phylogenetic diversity of plants. Ongoing projects include the evolution of floral scent in Onagraceae, the evolution of sexual systems in Schiedea (Caryophyllaceae), and the origin
-
large initiative that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics
-
research group with a young and dynamic atmosphere. This position focuses on developing new research directions in the field of homogeneous catalysis. In particular, you will work on the development of novel
-
maximum of one postdoctoral research experience in an internationally visible academic research environment. Demonstrated excellence in one or more of the following fields: organic synthesis, development
-
large initiative that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics
-
, the candidate will contribute to the human and environmental microbiome focused research at DoME. One of the main tasks will be the development of high throughput, sequencing-based microbiome profiling methods
-
that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology