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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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Human-Computer Interaction - Open Rank Faculty Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Human-Computer Interaction Description Mohamed bin Zayed University
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of tumour growth and metastasis. Project outline The Computational Biology Group applies a range of computational and Machine Learning approaches to the interpretation and analysis of complex multimodal
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Machine-learned force field Metamaterials (nanophotonics, metamaterials/metasurfaces, and metamaterial-enabled optical computing) If you are a passionate and innovative scientist or researcher eager to make
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information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both
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information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, GenAI, and IoT/5G
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of computational tools including Artificial Intelligence (AI) and Machine Learning (ML) in virtual screening, small molecule design and optimization is preferred. Set up the chemistry strategy for projects and
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Associate Scientist or Lead Researcher - (Protein Engineering and Design, Genome Editing, Biotechnol
protein candidates by structure-guided design and high-throughput screening. Apply new artificial intelligence and machine learning techniques to guide protein engineering design. Analyze experimental
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, families, students and participates in the orientation of new employees. Assesses the learning needs and abilities of patients and families, to facilitate their development of self-care. Effectively
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toxicities. The proposed thesis aims to extract biomarkers that are predictive of the response to targeted therapy for patients with KRAS-mutant non-small cell lung cancer. To this end, machine learning