Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Curtin University
- NTNU - Norwegian University of Science and Technology
- University of Groningen
- Technical University of Munich
- University of Copenhagen
- University of Southern Denmark
- University of Twente
- Monash University
- Nature Careers
- ;
- ; Brunel University London
- Aalborg University
- Aarhus University
- Blekinge Institute of Technology
- Copenhagen Business School , CBS
- Ghent University
- Queensland University of Technology
- SciLifeLab
- Technical University of Denmark
- Umeå University
- University of Adelaide
- University of Bern
- University of Bremen •
- University of British Columbia
- University of Oslo
- University of Potsdam •
- University of Southern Queensland
- University of Tübingen
- Utrecht University
- 19 more »
- « less
-
Field
-
Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission). General information A public list of
-
programming Creating their own mechanical designs, implement and test them accordingly, Implementation of control algorithms on physical experiments. In addition, the candidates are expected to contribute with
-
Sustainable Energy AS. Duties of the position The technical work tasks concern: Development of smart algorithms and modules for load prediction and minimization of fuel, energy, and emissions for marine vessels
-
. The organisation is currently working on research project(s) related to the release of a new digital product that conducts optimisation of AI algorithms for sustainable home retrofitting solutions. Opportunity
-
optimization. -- Identify factors that contribute to the robustness of training algorithms against local minima and explore potential improvements. • Objective 4: Architectural Designs -- Evaluate the impact of
-
Change, Glaciology, Modeling, Imaging, Algorithms and Combinatorial Optimizations. Eligibility to hold scholarship funding: Recipients must be offered and accept admission to a UBC PhD program in
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
-
, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
-
learning techniques, as well as methodological issues related to AI (e.g. the fairness and transparency of algorithms) Energy, Environment and Resources Firm Behavior, Innovation and the Functioning