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other territorial units. •Development and application of causal inference techniques (difference-in-differences, propensity score matching, multilevel models) to estimate the electoral effects of urban
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innovative experiments. The work will include defining and optimizing in vitro models using diverse cell types and advanced platforms, as well as establishing correlations between applied mechanical stimuli
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vacuum, chemistry labs and scanning probe microscopies. Fluent in English, good writing and interpersonal skills. Molecular modelling software and programming knowledge for data acquisition and data
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familiarity with at least one of: DFT workflows, Wannier/TB model building, or quantum-transport simulations; willingness to become hands-on across the stack. Comfortable with Linux/HPC, job schedulers, and
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cryopreservation and maintenance processes. (10 points) Experience in cell culture, characterization, flow cytometry, and immunostaining. (10 points) Experience with in vitro models of endothelial dysfunction
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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, Python, Stata, or others). • Development and quantification of spatial models. Category: postdoctoral researcher, level 2 Working hours: 37.5 hours per week Contract period: it is expected