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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr. Leticia Tarruell. The interplay of interactions and gauge fields is responsible for some of the most intriguing phenomena
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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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combine scalable and environmentally benign synthetic routes with advanced structural and compositional characterisation to establish clear links between synthesis parameters, nanostructure, and functional
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are: Conducting in vitro and in vivo experiments with medulloblastoma models within the parameters of the funded project, under the supervision of the lead researcher. Collaboration in experimental design, as
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Experience developing pipelines and code for gravitational-wave searches and/or parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing
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modeling and simulation of electronic circuits within the group to obtain performance, energy efficiency, area consumption, and reliability parameters for the group's different projects. Assist in
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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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data, identification and treatment of outliers that may affect the estimation of parameters of interest. Evaluation of correlations between variables relevant to the estimation. Implementation and