11 computer-vision-and-machine-learning PhD positions at University of Basel in Switzerland
Sort by
Refine Your Search
-
Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
-
We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group, Department of Pharmaceutical Sciences, University of Basel. This position is part of
-
Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic
-
University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -PHD [#21542] Position Title: Position Type
-
The Doctoral Program in Literary Studies of the University of Basel calls for applications for a one-year start-up grant of CHF 30,000 (beginning October 1, 2025). The grant is designed to support
-
Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical
-
explaining urban change in Hong Kong and Taipei exclusively in terms of tiger economics or the developmentalist state, beyond techno-positivism and growth machine dogmas, ASPIRA recognizes defiance as the
-
microbiology, as well as bioinformatics and the analysis of big datasets. Moreover, the Biozentrum offers excellent internal support from various core facilities with expert staff, and a structured PhD program
-
part of an exciting research project on the ethical and social implications of new plant breeding technologies funded by the Swiss National Science Foundation as part of the National Research Program
-
part of the National Research Program NRP83. The goal of the project is to identify, understand, and mitigate gender and sex biases in implantable medical devices, to promote equitable healthcare