28 distributed-algorithm-"Prof" PhD positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
experimental research in nanoparticle catalysis using advanced operando electron microscopy This collaborative PhD project between Technical University of Munich (TUM) ( the group of Prof. Barbara A.J. Lechner
-
of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
-
agricultural robotics and new sustainable farming practices. The PhD projects will be combining new sensor systems and perception algorithms. So, if you are one of the 2 selected applicants, your primary
-
information may be obtained from Prof. Shfaqat Abbas Khan (abbas@space.dtu.dk ), Dr. Cheng Gong (gong.cheng@dartmouth.edu ) and Prof. Mathieu Morlighem (mathieu.morlighem@dartmouth.edu ). You can read more
-
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
-
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
-
enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Assoc. Prof. Leticia Hosta-Rigau. We offer
-
. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Alexis Laurent (DTU Sustain, alau@dtu.dk ), Prof. Tine Rask Licht (DTU Food, trli
-
thermochemical TES. Your main supervisor will be Prof Adriano Sciacovelli and you will join the Thermal Energy Section at DTU Construct. Your work will contribute to a paradigm shift in how complex TES systems
-
thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of