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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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synthesis of organic compounds and afterwards the study of their properties and application within the RedFox project. The goal of the project is to develop new methods for the reduction of phosphine oxides
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be in charge of finishing ongoing projects in the group, involving the development of probabilistic methods for the identification of non-coding cancer driver elements and of the tumor mode of growth
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on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. Enhance holographic methods for optical tweezers with generative models and
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Outbred Rats (https://ratgenes.org/ ). Whom would we like to hire? Professional experience Must Have You have proven experience reconstructing MAGs from deep shotun sequencing data and, ideally, long read