Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Curtin University
- NTNU - Norwegian University of Science and Technology
- Leiden University
- Nature Careers
- Technical University of Munich
- University of Groningen
- University of Southern Denmark
- Monash University
- Susquehanna International Group
- Technical University of Denmark
- University of Twente
- ;
- ; Brunel University London
- Aalborg University
- Brno University of Technology
- CSIRO
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- Ghent University
- ISCTE - Instituto Universitário de Lisboa
- Imperial College London
- Institute of Physical Chemistry, Polish Academy of Sciences
- Leiden University; Leiden
- Maastricht University (UM)
- Queensland University of Technology
- Tel Aviv University
- Umeå University
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Bern
- University of Bremen •
- University of Luxembourg
- University of Potsdam •
- University of Southern Queensland
- University of Twente (UT)
- Università degli Studi di Sassari
- 28 more »
- « less
-
Field
-
Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
-
-Machine Interfacing for Semi-Autonomous Robotic Prostheses This project will develop novel AI algorithms to decode human intention from electrophysiological signals (e.g., EMG) for intuitive control
-
on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order models, designing controllers that exploit
-
nature. The PhD candidate will focus on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order
-
sufficiently “compact” (i.e. algorithmically small and computationally efficient) to enable incorporation in integrated PED models. The development of these compact models will involve collaboration with several
-
and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention
-
. These problems have been compounded by the emergence of Artificial Intelligence. New forms of algorithmic manipulation have been used to sow discord in democratic societies, undermine trust in politics, and erode
-
deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
-
such as textiles. 2. Proven ability to develop and implement advanced motion-planning algorithms and real-time control schemes, ideally demonstrated through digital-twin simulations and hardware-in-the-loop
-
to muon g-2 from lattice Quantum Chromodynamics and algorithmic developments for multi-level and RG-improved simulations (research group of Urs Wenger) C.) Study of multi-hadron systems, with a focus on