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and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
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communication skills; ability to work effectively in an international environment. • Demonstrated ability and motivation to learn new techniques and procedures. • Experience with control and data acquisition
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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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projects are continuously developed. Continuous learning and career development pathways. Flexible working hours. 23 days of annual leave plus 9 personal days. Flexible remuneration programme, including meal
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Learning and parameterised quantum circuits. Analysis of multi-omic data for the identification of therapeutic targets. Migration of algorithms from classical simulators to IBM quantum hardware
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experience Where to apply E-mail irecjobs@irec.cat Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD or equivalent Research
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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the neurovascular space. Knowledge of neurovascular anatomy, acute stroke, endovascular treatments, neuroendovascular devices for the treatment of stroke. Ability to generate machine learning analysis of medical
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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28 Jan 2026 Job Information Organisation/Company Institut de Robòtica e Informàtica Industrial CSIC-UPC Department Robotics Group Research Field Computer science » Other Researcher Profile