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Kempenhaeghe in Heeze. You will be working closely with Prof. Dr. Teresa Schuhmann, Dr. Debby Klooster and Dr. Ilse van Straaten. We value open-minded collaboration, scientific rigor, and strong mentorship
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stipend (UKRI standard rate) Support for training, equipment, and conference travel Supervisors Prof. Zengbo Wang, School of Computer Science and Engineering Dr. Ellie Jameson, School of Natural Sciences
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effort between School of Engineering and School of Chemical Engineering at Aalto University supported by our industrial partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid
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partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid Reza Godini and Prof. Riikka Puurunen , will contribute to a high-impact collaborative research environment. This position
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by the Open Universiteit, which is formally based in Heerlen. The project is supervised by a research team with strong expertise in the application of artificial intelligence for cybersecurity (prof
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University. The project will be supervised by Dr. Koen Haak and involve collaborating closely with a postdoctoral researcher, the group of Prof. Frans Cornelissen at UMCG, as well as with the multidisciplinary
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mass spectrometry and machine learning now allow us to unravel this “dark proteome.” This position aims to use state-of-the-art AI-guided proteomics and systems biology approaches to map protease
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 10 days ago
diagnosis of dementia. This will enable specific therapy to be provided at an early stage. In the project, artificial intelligence / machine learning and new multimodal imaging methods are used to carry out
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, stringent layout design rules demand new design automation solutions beyond the actual state-of-the-art. The proposed work plan focuses on the thorough exploration of innovative generative machine learning
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will: Develop novel and robust catalytic materials for efficient removal of emerging contaminants in water. Learn and apply advanced materials characterization techniques. Work with different analytics