Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- University of Oslo
- AALTO UNIVERSITY
- Aalto University
- German Cancer Research Center in the Helmholtz Association (DKFZ)
- Heidelberg University
- Linköping University
- SciLifeLab
- Technical University of Denmark
- UNIVERSITY OF SOUTHAMPTON
- Aarhus University
- Aston University
- Boehringer Ingelheim International GmbH
- California Baptist University
- Dr. Susanne Elfert
- EPFL
- Eindhoven University of Technology (TU/e)
- Ghent University
- Helmholtz Association of German Research Centres
- Lulea University of Technology
- UNIVERSITY OF VIENNA
- UiT The Arctic University of Norway
- University of Oxford
- University of Sheffield
- University of Southampton
- University of Southern Denmark
- University of Vienna
- Vrije Universiteit Amsterdam
- 20 more »
- « less
-
Field
-
, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/mobile-robotics ) and Intelligent
-
potential Ability to analyse complex interrelationships and work methodically Good written and spoken English Independent and team-oriented approach to work Our Benefits for You Team & Environment: You
-
You are a quick learner and have the ability to analyze complex issues and address them creatively You are a strong team player, have high self-organizational skills, and are highly motivated Fluent
-
expertise offers unique opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary
-
include complex process plants, where autonomous decisions directly affect safety, product quality and asset lifetime. WORK ENVIRONMENT EPFL is one of the most dynamic university campuses in Europe
-
opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The
-
with complex microstructures. The objective is to create a multilayer coating with a graded particle size distribution, thereby establishing the prerequisites for the subsequent deposition of a dense
-
code to perform hydrodynamic simulations of swimmers in complex confinements, and also help to further develop it. In particular, you will investigate how the tortuosity of the confinement affects the
-
. We combine multi-modal neuroimaging and consciousness science with information theory, network science, and whole-brain biophysical modelling. We triangulate fMRI data across humans, macaques, and mice
-
the launch of a new predictive maintenance service. You will receive day-to-day guidance from business and academic supervisors, along with access to Aston’s KTP Associate network, and a dedicated