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- Institute of Photonic Sciences
- Universitat Autònoma de Barcelona
- ICN2
- Universitat de Barcelona
- Achucarro Basque Center for Neuroscience
- Barcelona Supercomputing Center (BSC)
- CRAG-Centre de Recerca Agrigenòmica
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- Institut de Físiques d'Altes Energies (IFAE)
- Institute for bioengineering of Catalonia, IBEC
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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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sciences, political science or economics. Expertise in urban planning and statistical analysis, proficiency in English (additional European languages are a plus), and a demonstrated track record in mobility
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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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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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. 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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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 commitment to
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an advantage. Experience working with model or non-model plant species. Proven track record of publications in relevant areas. Skills: Strong experimental and analytical skills in molecular biology and plant
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presentations. * Desirable: * Prior experience with Alzheimer s disease models and glia/astrocyte biology. * Prior track record of peer-reviewed publications in relevant fields. * Prior experience supervising