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combined with in-situ validation data, including reflectance measurements and ecological surveys. This dataset will form the foundation for accurate training and validation of image classification models
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— an interdisciplinary field spanning information theory, stochastic thermodynamics, and quantum physics — and will explore several research directions: Thermodynamic computing: Developing physics-inspired models
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- 30.09.2028); has laboratory experience (isolation and culture of stem cells, purification and characterization of extracellular vesicles, flow cytometry, RT-PCR, western blot); has experience in laboratory
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smRNA FISH, live microscopy imaging) and theoretical approaches (e.g., data analysis techniques and information theory) to address the above questions. Currently, we are seeking a highly motivated PhD
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models and is carried out in collaboration with Prof. Graham Ogg, the scientific partner from the University of Oxford. The funding for this exciting project was obtained within the FIRST TEAM programme of