Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Aarhus University
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Aarhus University (AU)
- Copenhagen Business School
- Technical University Of Denmark
- Technical University of Denmark (DTU)
- University of Southern Denmark (SDU)
- Roskilde University
- Technical University of Denmark
- ;
- Aarhus University;
- Faculty of Medicine, Aalborg University
- RegionH
- University of Southern Denmark
- 6 more »
- « less
-
Field
-
strengthen explanatory and predictive models of surveillance data. Job Description and Research Objectives At the Capital Region of Denmark, Nordsjællands Hospital, Region Hovedstaden, DETECTIVE is looking
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Anomaly Detection for Future Urban Cooling Systems within
-
an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
-
’ Cognitive Autonomy in Human-AI Interaction’). Research objectives This project develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy in
-
carbon, nitrogen, and water flows in agroecosystems. A solid background in uncertainty quantification, applied statistics, Bayesian calibration, and Monte Carlo simulations. Strong skills in scientific
-
informative but also pose significant privacy risks. Your work will focus on developing and studying privacy-preserving methods, such as differential privacy, Bayesian privacy, federated learning and synthetic
-
degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
-
on developing and studying privacy-preserving methods, such as differential privacy, Bayesian privacy, federated learning and synthetic data. The aim is to enable meaningful analyses, such as identifying disease
-
Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
) closed-loop materials discovery, e.g., Bayesian Optimization, autonomous analysis of patterns, spectral data or cell-level testing. Experience with predictive control of the synthesis robotics and reaction
-
reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop