Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Aalborg University
- ; Technical University of Denmark
- Aarhus University
- Aalborg Universitet
- Aarhus University;
- Copenhagen Business School
- Copenhagen Business School , CBS
- Technical University of Denmark;
- University of Copenhagen
- 2 more »
- « less
-
Field
-
to material, cutting tools and parts production. The PhD project will therefore focus on the development of an integrated system combining direct and indirect tool wear monitoring for reliable residual life
-
achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
-
to engage in pioneering research, collaborate with a large, dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and technologies. This is an exciting
-
about what goes on "behind" the feed in terms of algorithms, advertising etc. but most of all how to create engaging - and sometimes viral - content for a larger organisation Your place of employment: SDU
-
the position, you will have the opportunity to drive the development of the field of Medical Image Analysis at DTU Health Tech, both in research and education. In addition, you will contribute to strengthening
-
achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
-
to material, cutting tools and parts production. The PhD project will therefore focus on the development of an integrated system combining direct and indirect tool wear monitoring for reliable residual life
-
for behavioural and security properties; efficient algorithms for model checking, learning and synthesis; improved explainability and safety of machine learning models, e.g. by integrating neural and symbolic
-
degradation modes. Evaluating suitable sensor technologies and data sources for acquiring relevant metrics. Developing tools and algorithms to automatically analyse sensor data, assess asset condition, and