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daily interaction, idea exchange, and collaboration across both wet-lab and computational projects. Responsibilities The PhD student will be expected to: Plan and conduct LC-MS/MS-based proteomics
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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database experts to access and interpret datasets. Conduct statistical modeling of fish distribution and habitat interactions. Interpreting results in the context of fish ecology, marine conservation and
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insights. Transform model outputs into accessible insights and validate predictions by developing a visualization tool to display results through dashboards, maps, and interactive features. Profile and