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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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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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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
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methodologies will also be highly valued. We seek candidates with at least 3 years after their PhD, with a track record of research publications in high quality international academic journals and press, and with
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behavioural analytics and high-resolution tracking. • Experience with animal models of ageing, especially Drosophila melanogaster, will be highly valued. • Strong analytical skills. • Excellent publication
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organoids Experience with cerebral organoid models (is preferred but not mandatory) Molecular and biological assays to characterize stem cells and extracellular vesicles ES4TERM group has long track record in
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
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/or the project Requirements: The candidates must have a PhD in chemistry We are looking for a candidate with a solid and proven track record in Organometallic chemistry, particularly in Ni-catalyzed
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: Define and track metrics (MAE on Hamiltonian elements, band-structure error, DOS overlap, transport-relevant figures); compare against classical parameterisations. Uncertainty and active learning