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Field
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research in the area of verification, testing, and exploration of artificial intelligence models using synthetic data and generative explainability techniques (GenXAI). Key responsibilities will include
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computer science, or a field related to computational sciences. Must have a strong background in computer vision, artificial intelligence (AI), and/or wireless networking and systems, and related fields. Preferred
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that leverages artificial intelligence and large language models to solve fundamental problems in autonomous driving, robotics, verification and validation, and safety problems related to autonomies. You will
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in Data Science, Artificial Intelligence, Bioinformatics, Systems Biology or similar; experience with multivariate data such as omics or microbiome data; experience in causal inference is a plus able
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be studied. Based on the findings, possible therapy options and recommendations will be developed. Besides using maths models that show the possible biological and physical mechanisms, artificial
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. A prominent research area at the UvA is Artificial Intelligence. The UvA is part of the AI Technology for People initiative, where it teams up with several other key players within the Amsterdam
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research, covering research topics including, but not limited to Crop Modeling, Machine Learning, Artificial Intelligence (AI), Internet of Things, and Big Data analysis for Precision and Prescriptive
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Number: JR91414 Position Summary The postdoctoral fellow will develop artificial intelligence applications to support characterization of medical data with a focus on radiology image, radiology reports
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within a Research Infrastructure? No Offer Description Our group builds artificial intelligence systems for discovering new concepts, experiments and ideas in physics. To accelerate this effort, we need
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing