Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Aalborg University
- University of Copenhagen
- Technical University Of Denmark
- Technical University of Denmark (DTU)
- Aarhus University
- Copenhagen Business School
- Technical University of Denmark
- Geological Survey of Denmark and Greenland (GEUS)
- Aalborg Universitet
- Graduate School of Arts, Aarhus University
- Technical University of Denmark;
- University of Southern Denmark
- University of Southern Denmark (SDU)
- 3 more »
- « less
-
Field
-
information may be obtained from Assistant Professor Bjarke S. Jessen ([email protected] ) and Professor Thomas Willum Hansen ([email protected] ). You can read more about DTU Physics and DTU NanoLab at https
-
focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently
-
Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers
-
the ability to learn methods rigorously and use them to answer substantive questions. The candidate should be able to plan and execute extended fieldwork independently, work across two very different
-
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
-
research-based teaching and/or dissemination activities within one or more subject areas. Aalborg University applies a problem-based learning (PBL) approach. Documented experience with PBL (such as project
-
research-based teaching and/or dissemination activities within one or more subject areas. Aalborg University applies a problem-based learning (PBL) approach. Documented experience with PBL (such as project
-
industrial energy systems that combine physics and data to become adaptive, autonomous and trustworthy? To get there, you will work at the intersection of thermal energy systems, machine learning and
-
data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network analysis, web
-
collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a master’s degree in human-computer interaction