Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
proposed starting time is Autumn 2025, with room for flexibility. The appointment will be made at a competitive salary and will follow the PhD study programme at the Faculty of Science . The Department
-
Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
-
Rossmeisl, Department of Chemistry, Jan.Rossmeisl@chem.ku.dk , Direct Phone: +45 5071 9584 The PhD programme Qualifications needed for the regular programme (5+3) To be eligible for the regular PhD programme
-
, Department of Plant and Environmental Sciences, roitsch@plen.ku.dk , Direct Phone: +4535333431. The PhD programme Qualifications needed for the regular programme To be eligible for the regular PhD programme
-
computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
-
stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
-
passionate about working in a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering
-
computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
-
, geophysics, materials science, computation, engineering, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and
-
for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms