Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
infrastructure Excellent training in all aspects of this project. The opportunity to work and interact with an extensive network of international collaborators A competitive salary and social benefits (e.g. health
-
of greenhouse gases including CO2 and CH4. The PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning for inteGrated multi-parAmetric
-
Job Description Do you want to be part of the circular revolution to rethink the way we value the built environment? Join us as a fully-funded PhD in the MSCA doctoral network QuiVal - Quantum
-
well as in the breakdown of greenhouse gases including CO2 and CH4 . The PhD project is part of the Horizon Europe Marie Skłodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning
-
network of international collaborators - A competitive salary and social benefits (e.g. health coverage, parental leave, social security etc.) Contact For more information feel free to contact Assistant
-
Design invites applications for a PhD stipend in the field of causal discovery and spatiotemporal analysis of brain signals. The stipend is within the general study programme Electrical and Electronic
-
and diagnostic potential? Join a collaborative PhD project at DTU Bioengineering focused on single-cell proteomics–based analysis of circulating tumour cells (CTCs) from patients with small-cell lung
-
to carry out a PhD project within the umbrella theme ‘Small Island entrepreneurship and digital transitions’. This position is part of the Marie Sklodowska-Curie Doctoral Network (MSCA-DN) programme
-
Job Description The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 Ph.D. students at 7 universities, one
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of causal discovery and spatiotemporal analysis of brain signals