Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Aalborg University
- University of Southern Denmark
- Nature Careers
- Aalborg Universitet
- University of Copenhagen
- Aarhus University
- Technical University Of Denmark
- Copenhagen Business School
- Graduate School of Arts, Aarhus University
- COPENHAGEN BUSINESS SCHOOL
- Danmarks Tekniske Universitet
- NVIDIA Denmark
- University of Southern Denmark;
- 4 more »
- « less
-
Field
-
across conditions and integrate phenotypic readouts with functional omics to identify the processes underlying key performance changes. You will work closely with a postdoc evolving these consortia and
-
project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
-
motivated and curious candidate with a background in computer engineering, embedded systems, or a closely related field. The ideal candidate has an interest in the intersection of artificial intelligence
-
studies (e.g., interviews and/or observations) examining clinical leadership practices in reform implementation and change processes at hospital level and across organisational boundaries. These methods
-
the initiative over the coming decade. Applicants with an interest in numerical modelling of large‑scale wind processes – especially experience with PALM‑4U – and their relevance for wind‑engineering applications
-
under one department, which provides excellent opportunities to explore the intersections between these disciplines. Read more about our vision here . Shortlisting may be used in the assessment process
-
computational modeling of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes
-
. These should be an alternative to today’s FR4 and ceramic boards. You will help demonstrate how tailored glass can improve performance during operation while also enabling design-for-disassembly and recycling
-
of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models
-
Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R