Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
the supervision of MSc and PhD students affiliated with SDU Nano Optics as well as in writing grant applications supporting the research at SDU Nano Optics. Further information For further information and details
-
societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600
-
Anna Rogers from IT Uni. of Copenhagen as well as Jonas Raaschou-Pedersen who is a PhD student on the project. Introduction As part of the project you will be employed at SODAS and affiliated with
-
to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace. Salary and terms of employment The employment is in accordance with
-
to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Electro is the Department of Electrical and Photonics
-
potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace. Salary and terms of employment The employment is in accordance with the Ministerial Order on
-
PhD degree in economics. Strategy of the Faculty of the Social Sciences The Department of Economics is part of the Faculty of the Social Sciences. The faculty is a successful academic community that
-
completion of) a PhD in Computer Science or Mathematics. An ideal candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience with
-
multidisciplinary research environment As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Acoustic Sensing and Machine Learning for Sustainable Battery