Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Twente
- Erasmus University Rotterdam
- European Space Agency
- Radboud University
- Wageningen University & Research
- Leiden University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- ;
- AMOLF
- DIFFER
- Maastricht University (UM)
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Radix Trading LLC
- Zuyd University
- 12 more »
- « less
-
Field
-
, the identification of predictive features, and the construction and validation of statistical or machine-learning-based models. The postdoctoral researcher will be responsible for: Developing a
-
Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
-
Eindhoven, and the section for Engineering Design and Product Development of DTU jointly invite applications for a 4-year EuroTech PhD project. Information The aim of this exciting, creative, critical and
-
and Liu, Supervised learning in physical networks: From machine learning to learning machines, PRX 11, 021045 (2021) [2] Stern and Murugan, Learning without neurons in physical systems, Ann Rev Cond
-
to overall technology strategy and help shape the company’s long-term product direction. Job requirements Background MSc/PhD in Electrical Engineering, Computer Engineering, or Computer Science (or equivalent
-
to imagine novel task configurations and learn robust manipulation policies from just a few real demonstrations. You will work at the intersection of 3D computer vision, physical simulation, and robot learning
-
. Project management skills Preferably you also have: Key user system experience with a Student Information System (Osiris) and other learning/professional platforms (Canvas, Studielink, Microsoft Dynamics
-
causal inference, machine learning, text analysis, or large-scale data integration. You support ODISSEI users via consultations and collaborative research, train researchers through workshops, and mentor
-
within the field of machine learning, search, and reasoning techniques. Demonstrable knowledge and/or experience in algorithms and programming is a must; Is able to translate and convert this knowledge
-
-cell transcriptomics, or spatial tissue profiling data, and are keen to develop new methods, for example using machine learning. You have a proven track record of independent research funding and high