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Field
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techniques employed include high-throughput cell based screening, flow cytometry and preclinical treatment models. Informatic approaches include data mining and manipulation of large pharmacogenomic matrices
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, metabolisms, genome mining…) will be prioritized. Experience in native protein purification, biochemistry, and structural biology is welcome. Specific Requirements Given the nature of the European project
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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contemporain, Musée d’Art et d’industrie, Musée de la Mine). The consortium, resolutely open, is built on an ambition of academic and cultural influence. The scientific direction is led by Anne Damon-Guillot
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development. In the frame of a third party funded research project, we are looking for a PhD Student to work on and develop breeding strategies to mine comprehensive winter-wheat populations: Your tasks: Curate
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Western Australian School of Mines (WASM) Course type Postgraduate coursework Citizenship Australian Citizen Australian Permanent Resident New Zealand Citizen Scholarship base Merit Based Value
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system-level visibility. Combined with data-mining methods and embedding techniques, these approaches create opportunities to generate more informed and efficient design solutions. Aim The PhD will focus
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strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and
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and expertise in energy storage technology. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type Higher Degree by
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strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and