53 learning-"https:" "https:" "https:" "https:" Postdoctoral positions in Netherlands
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- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Groningen
- University of Amsterdam (UvA)
- University of Twente (UT)
- Utrecht University
- European Space Agency
- Radboud University Medical Center (Radboudumc)
- Maastricht University (UM)
- University of Utrecht
- Vrije Universiteit Amsterdam (VU)
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- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit Leiden
- Wageningen University & Research
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physics and mathematics in the project. Where to apply Website https://www.academictransfer.com/en/jobs/363996/postdoc-positions-origins-of-ir… Requirements Specific Requirements You hold, or will have
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forums such as the Inter-Agency Space Debris Coordination Committee (IADC) and standardisation bodies such as ECSS and ISO. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of
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your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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The Engineering Dynamics | Engineering Dynamics | Department MS3](https://www.utwente.nl/en/et/ms3/research-chairs/ed/)) group, Faculty of Engineering Technology at the University of Twente
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and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
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requirements We will consider applications based on the following skillsets. If you do not fullfil all requirements, please still apply (there is room for learning-on-the-job). A PhD in aerospace/mechanical
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
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workers in law enforcement, public transport, service work, and health care. We are seeking a candidate who is interested in learning or already has experience with video analysis and ethnographic fieldwork