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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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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical
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, cutting-edge research Chance to contribute to ongoing research projects with partners from a broad international network Strong collaboration on the topic between the hosting department and the University
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Consortium – LepEU (https://lepeu.github.io/ ). Multiple avenues for international networking, hands-on training and mobility will be available. Our research team is part of the 10kLepGenomes COST Action
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population genomics protocols will be provided by our collaborators at the European Population Genomics Consortium – LepEU (https://lepeu.github.io/ ). Multiple avenues for international networking, hands