Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Localization and Mapping) algorithms to enable reliable navigation of the UUV relative to the USV and the environment. This includes handling the challenging conditions of subsea localization (limited GPS, murky
-
. Further information Further information may be obtained from Asst. Prof Charalampos Orfanidis or Prof. Xenofon Fafoutis . You can read more here about working in our section, at DTU and in Denmark. If you
-
demonstrate the ability to use this background to: Develop innovative decision-making strategies that seamlessly integrate operational research techniques and machine learning algorithms. Engineer solution
-
A PhD position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof. Narcis-Adrian
-
students. We offer creative and stimulating working conditions in a dynamic and international research environment. Principal supervisor is Ast. Prof. Mathias Spliid Heltberg, heltberg@nbi.ku.dk, Phone: +45
-
(entities) given the rules and the rules given the molecules. The aim of this project is to develop a theory and accompanying algorithms to decide if an abstract system can be instantiated by a concrete
-
electricity price signals, demand-response mechanisms, and time-of-use optimization. AI-Driven Optimization using Reinforcement Learning: Apply RL algorithms to develop and train agents that optimize power
-
the interfacial phenomena between water contaminants and adsorbent materials. As a member of the “Nano-Micro-Macro. Structure in Materials” research group, led by Prof. Joerg Jinschek, you will push the boundaries
-
for the PhD education . Assessment The assessment of the applicants will be made by Assoc. Prof. Line Hagner Nielsen, Prof. Stephan Sylvest Keller, Dr. Signe Tandrup Schmidt and Dr. Gabriel Kristian Pedersen
-
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