Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Aarhus University
- Technical University Of Denmark
- Graduate School of Arts, Aarhus University
- University of Copenhagen
- ; Technical University of Denmark
- Technical University of Denmark;
- ;
- Aalborg University
- Roskilde University
- 2 more »
- « less
-
Field
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Jesper Hattel and Associate Professor Chris
-
of Psychology and Behavioural Sciences have achieved the distinguished AASCB, AMBA and EQUIS accreditations. Further information For further information about the position, please contact Associate Professor
-
necessity. The research group in Algorithmic Cheminformatics at the Department of Mathematics and Computer Science at SDU offers a dynamic research environment, comprising two full professors, one associate
-
here . Further information Further information may be obtained from Assistant Professor Arash Nemati (arnem@dtu.dk ) or Professor Henrik Lund Frandsen (hlfr@dtu.dk ). You can read more about the
-
. You can read more about career paths at DTU here . Further information Further information may be obtained from Researcher Nao Takeuchi-Storm +45 93511681 (naots@food.dtu.dk ) and Professor Lisbeth
-
, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
-
. The project will be supervised by Associate Professor Martin Hansen (DTU Sustain), and co-supervised by Professor Hans Peter Arp (NTNU Chemistry), Senior Scientist Anna Rosenmai (DTU Food), Veerle Jaspers (NTNU
-
-assisted design tools. What We’re Looking For: A strong interest in interdisciplinary and international collaboration, particularly at the intersection of materials science, (reticular) chemistry, and
-
explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
-
scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both