Sort by
Refine Your Search
-
Employer
- University of Groningen
- Radboud University
- AcademicTransfer
- University of Amsterdam (UvA)
- Amsterdam UMC
- CWI
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Maastricht University (UM)
- Nature Careers
- Universiteit van Amsterdam
- University of Twente
- Utrecht University
- Wageningen University & Research
- Wageningen University and Research Center
- 5 more »
- « less
-
Field
-
and various Nobel prize winners. Qualifications We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI-based statistics, Computational Biology, and expertise in Analytical
-
of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to this is individual and societal resilience and
-
machine learning, with a particular focus on distress monitoring. Faculty of Science The Faculty of Science (FNWI), part of Radboud University, engages in groundbreaking research and excellent education
-
PhD* in a topic such as animal acoustics, machine learning, quantitative ecology, quantitative biology, signal processing or similar. Evidence of the ability to conduct high-quality research and write
-
brought forward striving academics, like the first female student, the first Dutch astronaut and various Nobel prize winners. We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI
-
/ ) excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to
-
programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
-
with strong expertise in one of these categories: solid-state NMR; Quadrupolar solid-state NMR; Automated NMR analysis & machine learning; Lipid biochemistry (and chromatography knowledge in general
-
As a postdoc, the following is required: You hold a PhD in computer science, epidemiology, econometrics, machine learning, artificial intelligence, mathematics, data science, medical informatics, or a
-
collection has been the focus of concentrated digitisation efforts during the past eight years, including specimen photography. This new project seeks to harness this dataset using machine learning in order to