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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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. The successful candidate is expected to live and work in the Madrid area (Spain) for the duration of the project. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo/contrato
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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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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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and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC experience: BSC-CNS
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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