Sort by
Refine Your Search
-
of recommendation (not mandatory) The cover letter must maximum be one page and the CV should include information about your education, experience, language skills and other skills relevant for the position
-
interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
-
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
-
. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Anker Degn Jensen: +45 2217 1723, e-mail aj@kt.dtu.dk . If you are applying from
-
start on September 1st 2025 or according to mutual agreement. Further information Further questions about the project should be directed to Luca Laraia, email: luclar@kemi.dtu.dk If you are applying from
-
Job Description We are looking for a postdoc who can help establish a national infrastructure for the collection and sharing of biomedical health data in Denmark, named "The Biomedical Data
-
and North, ensuring real-world testing across diverse agricultural contexts. Beyond the research itself, IBIS aims to implement standardized experimental protocols, harmonized data formats, and
-
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, including
-
] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
-
, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models