Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Vienna
- Johannes Kepler University
- University of Innsbruck
- Graz University of Technology
- Academic Europe
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- University of Graz
- Universität Wien
- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Central European University
- Cori Institute of Molecular and Computational Metabolism
- IIASA
- Kunstuniversität Linz
- Research Center for Molecular Medicine (CeMM), ÖAW
- Universität für Bodenkultur
- 6 more »
- « less
-
Field
-
experience in modern statistical methods, statistical and machine learning, and AI is advantageous Excellent knowledge of SPSS; knowledge of STATA and/or R and/or Python is an advantage. Interest in mixed
-
Application: We are looking forward to receiving your online application. The full, legally binding call for application (in German) including the salary can be found here: https://lfuonline.uibk.ac.at/public
-
of metabolism, membrane transport, cellular regulation, structural systems biology, machine learning and disease mechanisms. These positions are embedded in the transition from CeMM in Vienna to the newly founded
-
, in teacher education (bachelor program and master program), in a faculties-arching master program in "Environmental Sciences", and on doctoral level. Details on the Department can be access on http
-
archiving of university online resources Practical experience in applying machine-learning-driven methods to historical sources Proven experience in successfully securing, implementing and leading competitive
-
of AI/ML into application and system software. Join a high-impact research team and help shape the next generation of dependable, efficient embedded systems. Learn more and get in touch: https
-
science Artificial intelligence, machine learning, and data science Clinical and biomedical research You will have access to state‑of‑the‑art analytical platforms, computational infrastructure, and a
-
-based data acquisition, programming, human-computer interaction and VR development Interest in digital health and wellbeing, including digital biomarkers, simulation extended reality (XR), training and
-
, species-distribution data, ecosystem-condition data, field measurements, or other environmental datasets, using statistical, machine-learning, process-based, or hybrid modelling approaches to analyze
-
lit. b (postdoc) Limited contract until: Job ID: 5948 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if