Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
-
Computer Science, Aalborg University is known worldwide for its high academic quality and societal impact. The Department of Computer Science employs more than 170 people, of which about 53 are PhD students, and
-
also have opportunities to interact with and co-supervise Master’s and PhD students, providing valuable experience in mentoring and teaching. The postdoc’s duties will include research within theoretical
-
stakeholders, and FORM is a key founding player in CSlib’s steering and technical leadership . Who we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer Science
-
of relevance through publications and collaborations Co-supervision of bachelor and master students within the above-mentioned fields Qualifications: PhD degree (or equivalent) in Computer Science, Artificial
-
Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
models of quantum programming languages. The ideal candidate holds (or is expected to soon hold) a PhD degree in computer science, mathematics, physics, or a more specialised degree in quantum computing
-
Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
-
and supervisors. The PhD project is part of the research project NeuroGen Computing Research Project, which is financed by Novo Nordisk Foundation. Start date is (expected to be) February 1st 2026 or as
-
-efficient magnetic heating/cooling device. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol
-
Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience