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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
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) - Implement a demonstrator of the platform where a human learns how to operate a CNC machine with the help of a social robot, through the digital twins and interfaces. This includes: o Defining a learning
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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Networking (SDN), and advanced machine learning approaches to ensure compliance with ISO/SAE 21434 and UNECE WP.29. Respnsibilities: Develop lightweight AI/ML models for detecting cyber threats in TSN-based
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existing SC analysis tool, by integrating machine learning and benchmarking components, thus helping evolve it into a market-ready solution capable of real-time threat intelligence and adaptive vulnerability
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computational tools (e.g. machine learning, artificial intelligence or other approaches) are also encouraged to apply. You will teach pharmacology-related courses in the Bachelors of Life Sciences, Medicine
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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are particularly interested in candidates who combine computational biology, data science, and machine learning/AI with deep biological insight. While wet lab activities are welcome, they are not mandatory. However
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functions in different neurological disorders Teach students about clinical and research aspects of neurodegenerative disorders Present at public events for information of lay public or medical professionals
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to candidates from a broad range of AI subfields, including, but not limited to machine learning, generative AI, computer vision, representation and reasoning, natural language processing