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cerebrovascular diseases. Our research focuses on models of ageing, neuroinflammation and oxidative stress. To achieve this, we apply biomedical approaches including biochemical assays, in vivo and in vitro studies
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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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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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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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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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performant, CMOS compatible, infrared colloidal quantum dot photodetectors and light emitters exploiting intersubband transitions. The project is focused in the mid and long wave infrared employing colloidal
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diabetes. The successful applicant will develop cell-based model systems such as human stem cell-derived beta cells, using single cell genomic read-outs, and will explore poorly understood genome regulatory