Sort by
Refine Your Search
-
innovation among students and faculties by developing their entrepreneurial capabilities to be capable of solving challenges facing our society. Therefore, DTU puts a premium on research, education, and
-
Description Would you like to become part of the solution toward green energy transition, by helping develop the methods for modeling renewable power plants and future energy systems? The Renewable Plants in
-
) Implement restoration actions of bivalve biogenic reefs and beds at Løgstør Bredning, Limfjorden and other sites. ii) Develop strategies for monitoring the evolution and success of restored habitats and its
-
experts from different partner organizations. Your primary tasks will be to: Develop machine learning prediction tools to fill chemical data gaps for globally marketed and novel chemicals and materials with
-
to collaborate with the diverse and interdisciplinary team at Pandemix and our associate researchers to develop and advance shared research projects. As a formal qualification, you must hold a PhD degree (or
-
Council (EIC) Transition Grant project, then this position is for you. The ultimate goal is to evaluate the technology's market potential and prepare a business plan for commercialization. You will have an
-
on the TEDDY research project, which is funded by the Hedorf Foundation and the FDE Foundation. The overall research project is to develop and validate mathematical models that aid logistics companies in
-
equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an
-
handling and IT on a user level We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offera rewarding and
-
of Denmark, focused on leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Such a technology will dramatically accelerate existing complex simulation models