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Field
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Description Industrial PhD: Application of artificial intelligence and data analytics to the optimization of industrial processes Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements
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particular group leader and their research project. Official transcripts of BSc and MSc studies in PDF format. A scanned copy of the certified academic record of the studies granting access to the PhD
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
physiological conditions. • Examine their performance in 2D and 3D systems, including chemical and genetic disease models, multi-cultures and organ-on-a-chip devices. • Investigate the biodistribution as
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skills and model systems used. Additional valuable information includes a list of scientific publications or submitted manuscripts, participation in seminars, workshops, and conferences (specifying any
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applying for observational time, analysing the observations, and aligning the results to numerical simulations of star formation. The candidate is expected to have experience with Gaia data and good
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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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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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researcher). PLACE OF PUBLICATION OF RESULTS: Official bulletin board of the UDC online services site. Additional comments General required documentation: 1. Copy of national identity document or passport 2
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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