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? No Offer Description PID2022-141627NB-I00: A MODEL FOR LESS IS MORE: development of Oikopleura dioica as an evolutionary knockout model to study the impact of gene loss on the evolution of gene
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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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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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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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, essential for understanding systematic effects. The successful candidate for this position will join a small team of PhD and post-doctoral researchers working to develop SBECs as detectors
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mechanisms underlying hematological malignancies and immune regulation. Prior experience working with mouse models, particularly in the context of leukemia (highly valued). Solid expertise in molecular and
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and responsibilities: Synthesis of nanoparticles as drug delivery carriers In vitro and in vivo studies on the efficacy of the developed nanomotors in 2D, 3D in vitro models of different diseases. Study
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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
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numerical simulation and data processing. Willingness to travel Additional Information Website for additional job details https://www.uji.es/seu/info-adm/tao/convocatoriesRH?pConv=3326&pCategoria=14 Work