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quantitative modeling; Strong expertise in programming, including proficiency in languages commonly used in data analysis and machine learning, such as Python; Excellent verbal and written communication skills
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enhance real-time decision-making in road traffic management. The project aims to bridge the gap between recent advances in AI and machine learning, in particular, multimodal and instruction-tuned
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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Primary Supervisor: Prof Kate Hendry Scientific background: Meltwater fluxes from glaciers and ice shelves are increasing across West Antarctica as a result of oceanic warming as well as an increase
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Primary Supervisor - Prof Kate Kemsley Scientific Background Deforestation is a major global issue, destroying biodiversity and accelerating climate change by removing vital carbon sinks. The newly
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organization. Bioprinting holds transformative potential for enhancing the functionality of tissues in regenerative medicine. At the Tissue Engineering and Biofabrication Laboratory (led by Prof. Marcy Zenobi
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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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proactively. Experience in design, prototyping, basic programming, AI and/or machine learning are a plus. International PhD candidates with scholarships below the applicable IND income standard (currently
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Compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum-classical internet Quantum embeddings for machine learning