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). The candidate should have hands-on experience developing state-of-the-art machine learning models, particularly deep neural networks (experience with graph neural networks is highly valued). Their background
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are continuously exposed to a complex mixture of chemicals from diet, lifestyle, pharmaceuticals, and environmental pollution. To understand how these exposures affect health, non-targeted analysis (NTA) by mass
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(purification of ribosomes, ribosome complex assembly, etc.) Theoretical knowledge of single parcticle cryo-electron microscopy Good English language – spoken and written Nice-to-have: Work experience in cryo
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