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is looking to hire a research assistant to work with her at the Barcelona School of Economics on a project studying Statistical inference for high-dimensional stochastic differential equations under
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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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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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environment with chemists, electronic engineers, and domain scientists. Main Tasks and responsibilities: Develop the MMPI-BO (Multimodal Physics-Informed Bayesian Optimization) optimization engine. Implement
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and biophysics. Develop computational pipelines integrating ASR, structure prediction, and energetic analysis. Apply and/or develop ML/AI methods for protein design and evolutionary inference. Analyze
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Mitigation Accelerated by Photons group led by Prof. Dr. Pelayo García de Arquer is searching for exceptional researchers, with an excellent proven track record, to work at the interface of materials science
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. Research experience in the fields of perception, consciousness, thinking, and emotions. Strong track record of writing and publishing scientific articles. Skills in experimental design and execution, as
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have a strong track record of exploring quantum effects such as entanglement and squeezing in atomic vapors. The successful candidate will be expected to contribute to experimental progress in at least
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Mitigation Accelerated by Photons group led by Prof. Dr. Pelayo García de Arquer is searching for exceptional researchers and engineers, with an excellent proven track record, to develop efficient water
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. The successful candidate will be joining the Molecular Nanophotonics group led by Prof. Dr. Niek van Hulst. Key responsibilities Contribute to Project FastTrack, to track energy (exciton/charge) transport in