Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Job Description The laboratory of Per Svenningsen, Cardiovascular and Renal Research Unit , Department of Molecular Medicine, is seeking a postdoc to work on proteinuric kidney disease and liver
-
observations from the Kepler and TESS satellites, complemented by Gaia data and ground-based spectroscopic and spectropolarimetric observations. See more information here: https://www.space.dtu.dk/english
-
Compute, you will work in the Embedded Systems Engineering section and do research in the Io(U)T field. You will work with colleagues in the section and in our network of strong academic and industrial
-
a research climate encouraging lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities
-
projects) Dissemination of your research through publications in “reputed journals of the field ” and attendance to conferences. Flexibility is essential. We are looking for a team player who can also work
-
develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an
-
process, and subsequently implement this infrastructure on top of an existing cloud infrastructure. You will play a key role in the project's development, ensuring technical tasks and teams work together to
-
advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
-
A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences and Aarhus University, respectively. Place of work and area of employment The place of work is Universitetsbyen 81
-
advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite