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areas of nanoscience and nanotechnology. Job Title: Research Assistant - AI Optimisation for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description of Group
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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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potent immunity against tumors. These viruses are genetically engineered and tested in vitro in tissue cultures and in vivo in mouse tumor models. About the role The candidate will be the entrepreneur
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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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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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? No Offer Description The laboratory is interested in investigating the genetic and epigenetic basis of phenotypic plasticity in animals using insects as a model organism. To that end, we use a variety
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, modelling and simulation of refrigeration components and equipment. Participation in national and international refrigeration and heat pump projects. Publications in journals and communications at conferences
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join a consolidated research group at the University of Oviedo. The work will include experimental characterization and numerical modelling of structural materials with applications across various
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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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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