Sort by
Refine Your Search
-
Listed
-
Employer
- Aalborg University
- Technical University of Denmark
- University of Copenhagen
- Aalborg Universitet
- University of Southern Denmark
- Nature Careers
- Technical University Of Denmark
- Copenhagen Business School
- Aarhus University
- Graduate School of Arts, Aarhus University
- COPENHAGEN BUSINESS SCHOOL
- Danmarks Tekniske Universitet
- NVIDIA Denmark
- 3 more »
- « less
-
Field
-
responsible business and governance is organised around various research environments. Further information is available here: https://www.cbs.dk/research/department-management-society-and-communica
-
Job Description Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? This PhD
-
the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our group, you get the opportunity to use the latest algorithms in machine learning for improving
-
models to design adaptive, efficient, and intelligent algorithms for hearing assistive devices. Key objectives include improving speech perception in noisy and unpredictable environments, reducing
-
in the inner ear and signal treatment algorithms assist in preparation and testing of the microelectrode arrays at the partner institution collaborate with an interdisciplinary research team in a
-
-and-egg" problem of sampling: developing algorithms that learn to bias simulations automatically without requiring prior knowledge of the mechanism. You will contribute to open-source software
-
. The PhD students will work on several tasks, including: development of safe data-driven control/reinforcement learning algorithms to recover parameter identifiability by exploration of different
-
with mathematical modeling and algorithmic insights Counterbalancing issues such as bias, overfitting, and inexplicable errors in excessive pre-training: by making systems explicitly aware of the reasons
-
pruning), carbon-aware computing, minimizing algorithmic complexity, maintenance requirements, mapping energy efficiency and related aspects using KPI (key performance indicators) with respect to ESG
-
correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid