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parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing; additionally other methods such as simulation-based inference Good computing skills
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, and nonlinear physics. Experience with complex data analysis techniques, particularly time series. Experience in inference and information theory. Additional Information Benefits Contract remuneration
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-matter model of biological tissues. The analysis will comprise both analytical calculations and numerical simulations. The candidate will also analyze experimental data from collaborators to infer
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and publications in international academic journals. • Experience in the use of causal inference methodologies applied to spatial data. • Knowledge and advanced use of quantitative techniques
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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
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publications in international academic journals. • Experience in the use of causal inference methodologies applied to spatial data. • Knowledge and advanced use of quantitative techniques (regressions
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analyze and interpret multi-omic data to identify spatial patterns, cellular neighborhoods, and gene programs associated with drug resistance. Develop predictive models to infer tumor evolution and
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embolization performance. Physicochemical characterization of materials and coatings. Release studies and biological evaluations. Peparation of periodic reports to track the project progress. Preparation
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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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and their research interests can be obtained through our website: https://ific.uv.es Applicants are expected to have a competitive research track record in theoretical particle physics, and a strong