Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Aalborg University
- CNRS
- NTNU Norwegian University of Science and Technology
- University of Groningen
- Wageningen University & Research
- Aalborg Universitet
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Grenoble INP - Institute of Engineering
- Leiden University
- Lulea University of Technology
- Norwegian University of Life Sciences (NMBU)
- SciLifeLab
- Technical University of Munich
- University of Warwick
- ARCNL
- Asociatia Transylvanian Institute of Neuroscience
- Blekinge Institute of Technology
- Curtin University
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fraunhofer-Gesellschaft
- GSI Helmholtzzentrum für Schwerionenforschung
- Goethe University Frankfurt •
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- Heidelberg University •
- ICN2
- Inria, the French national research institute for the digital sciences
- Institute of Photonic Sciences
- KU LEUVEN
- Linköping University
- Luxembourg Institute of Science and Technology
- Luxembourg Institute of Science and Technology (LIST)
- Nicolaus Copernicus University
- Prinses Máxima Centrum
- Technical University Of Denmark
- Technical University of Darmstadt •
- The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences
- UNIVERSITAT POMPEU FABRA
- Universidade de Coimbra
- Universitat Politècnica de Catalunya
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Amsterdam (UvA)
- University of Bonn •
- University of Bremen •
- University of Copenhagen
- University of Cyprus
- University of Göttingen •
- University of Konstanz •
- University of Luxembourg
- University of South-Eastern Norway
- University of Twente
- University of West Bohemia
- 44 more »
- « less
-
Field
-
intervention; and (iv) to optimize the maintenance activities by leveraging these correlations learned by machine-learning based approaches. Supervisory Committee: Main supervisor: Full prof. Chiara Bertolin
-
Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells
-
10,000 students enrolled in around 120 different study programmes in the fields of mathematics and natural sciences, humanities, politics, law, and economics. With students from more than 90 countries
-
defined process for cultivated meat with material cycling - Optimize the process, also applying mathematic modeling, to improve yield and sustainability - Independent work on research projects - Close
-
the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially