43 physical-engineer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
at Aalborg University's Technical Faculty for IT and Design. In addition, the project involves close collaboration with the Department of Architecture, Design, and Media Technology and involves one other PhD
-
electrochemical engineering to accelerate the discovery of novel materials for energy applications. You will work in a highly collaborative and interdisciplinary environment, which comprises, among others, experts
-
Intelligence and Neuroscience.” The PhD project will be carried out at the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark (DTU), in close collaboration
-
, technology providers, municipalities, and other public and private stakeholders. The aim of the PhD project is to examine how strategic development unfolds in transitioning port contexts, with particular
-
origin and type, transport history, season and plant/process conditions. Controlled experiments will quantify persistence, transfer and inactivation under representative transport, storage, cleaning
-
. If you need assistance with uploading your application or have questions regarding the recruitment process, please contact Aarhus BSS HR & PhD at [email protected]. Place of work Department of Management
-
to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae
-
to the abovementioned requirements. The Further Process After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All
-
degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
-
screening and other interventions have been implemented. The project views recruitment as a multi-stage process, where screening, interviews and final decisions interact, and where bias-reducing mechanisms