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to adapt to multidisciplinary environments and a focus on professional growth and development. Desirable requirements Good knowledge of quantitative methods (econometric models, time series econometric and
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) across time and modality Analysing functional and structural brain recordings Writing research papers under the supervision of the PIs, aiming to publish at top-tier journals Dissemination of results
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, magnetic, electrical, and mechanical functionalities, through processes that promote decarbonization compared to traditional methods. Doping with nanoparticles will be explored to incorporate advanced
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Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) | Spain | about 2 months ago
Maus* et al, Immunity, 2017). 3. Metabolic senescence of cells (Maus et al., Cell Metabolism, 2017) contribute to cancer. The lab works with mouse models, in vitro models, and with human specimen
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. Tasks: Estimate genetic correlations, polygenic risk scores, prediction of causal genes, prediction of differential expression in brain, and construction of gene networks. Bioinformatic analyses will be
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tissue engineering focused on bioengineered pediatric oncology models and translational therapies. Main tasks and responsibilities: Contribute to the research team by generating high-quality research ideas
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and validating architectures tolerant to faults and interference (jamming/spoofing) and robust to radiation-induced degradation, adaptive beamforming, and AI-based radio control. The role spans models
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, collaborative teamwork and independence. These key characteristics make EIPP a role model, which has inspired similar programmes at research institutions throughout Europe and the World. Find out more about the
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(primary and hPSCs derived). • Protein Purification. • Tau seed characterization and optimization. • Development and implementation of an in vitro reconstituted model. • Analysis of the effect of tau seed
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, multisignal patches and wireless devices. Design and development of algorithms for multimodal biomedical signals based on Personalized Models, Deep Learning and Explainable AI. Applications to respiratory