Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering
-
collaboration with the company Topsoe as well as other universities and companies. You will be based at DTU Chemical Engineering, at the CHEC research group in a dynamic international research environment
-
and in this way realizing new nanophotonic devices for emerging information and quantum technology. Technology for people DTU develops technology for people. With our international elite research and
-
frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
-
formal qualification, you must hold a PhD degree (or equivalent). The ideal candidate holds a PhD in entrepreneurship, innovation studies, economics, management, or a related social science discipline, and
-
You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the
-
research will help to improve the environmental and economic sustainability of commercial fisheries. You will join the Section for Fisheries Technology at DTU Aqua in Hirtshals. The section has 21 employees
-
qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
-
University and Aarhus University Hospital, involving both Health and Science at AU. The overall project will both use an existing clinical cohort, develop the framework for a new cohort and analyse data from
-
University and Aarhus University Hospital, involving both Health and Science at AU. The overall project will both use an existing clinical cohort, develop the framework for a new cohort and analyse data from