Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Denmark
- Aalborg University
- University of Southern Denmark
- Aarhus University
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Roskilde University
- Technical University Of Denmark
- Aarhus University;
- Queen's University Belfast
- The Danish Cancer Society
- UNIVERSITY OF COPENHAGEN
- 4 more »
- « less
-
Field
-
in a multidisciplinary research environment. The applicant should have documented research experiences in growth of thin films and characterization using standard techniques such as electron microscopy
-
in quantum computing. - Solid computer science and analytical skills, including modelling and verification, programming language theory or quantitative model checking. - Experience in programming, e.g
-
and AI-based models to uncover key regulatory networks underlying inflammation, aging, and regeneration Collaborate closely with experimental biologists, clinicians, and computational partners in
-
experience with recruitment of subjects for human experimental pain studies. It is important that the candidate have experience with inducing experiment knee pain in humans. The candidate holds a Cand.scient
-
of drugs or environmental chemicals in various matrices. Qualifications In terms of experience, we are looking for an individual with a PhD degree within pharmacology, oncology, environmental medicine
-
enthusiastic candidate with the following competencies and experience: Applicants should have a PhD degree or equivalent in a discipline of relevance for the Post-doc position, e.g., philosophy, history and
-
information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum information. Experience in continuous variable quantum information processing
-
should have experience with network modelling and programming. Experience with systematic reviews and meta-analyses is an asset, but not a prerequisite for the position. The successful candidate will work
-
of crystalline-silicon PV modules. Designing and conducting experimental campaigns, including drone- and gantry-based luminescence measurements under real operating conditions. Integrating image analysis