Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
-disciplinary teams. The preferred candidate has a strong interest in advanced manufacturing of mechanical and electrical products and competencies in applying life cycle assessment (LCA) data to derive decision
-
environments Contribute to the design, implementation and testing of a novel AUV concept Carry out experimental work with AUVs in real marine environments for data collection and validation of developed
-
PhD degrees in computer science, a BSc in artificial intelligence, and an MSc degree in data science. The project is supervised by Stelios Tsampas (stelios@imada.sdu.dk ) and Marco Peressotti
-
career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication. Participation to international conferences to facilitate
-
period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Adriano Sciacovelli, e-mail adrsc@dtu.dk . You can
-
synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process
-
further information about the project, please contact: Line Planck Kongstad Department of Public Health, DaCHE University of Southern Denmark (SDU) Tlf. 65509638. E-mail: lpkongstad@health.sdu.dk
-
learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
-
cutting-edge data science? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Postdoc. Read on to learn more! About the PhD
-
read more about DTU Physics at physics.dtu.dk . Further information may be obtained from Head of Department Jane Hvolbæk Nielsen, tel.: +45 4525 3222, e-mail: jane@fysik.dtu.dk . If you are applying