21 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Universitat de Barcelona
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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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? 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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knowledges and preventions planning in the Catalan Pyrenees. He/she will conduct fieldresearch including multiple data collection methods in line with multispecies deep mapping approach developed in WP1
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging
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will develop and exploit mesoscopic, and multiscale computational models to assist medical applications of ultrasound-guided drug and gene delivery and imaging. The project focus are the encapsulated
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, transcriptomics, proteomics), machine learning, statistical analysis and programming languages such as R or Python. - Experience in image analysis, including development of custom ImageJ plugins and workflows
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Offer Description The Agrobiology and Soil Management Group (University of Barcelona) invites applications for a 12-month postdoctoral position (part-time, 0.5 FTE) focused on developing and validating
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to develop innovative tools and methodologies to enhance the scientific return of DESI data, addressing key questions about the universe's composition, expansion, and evolution. The candidate will have the
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Computational-Experimental material Engineering of Thermal Spray coatings”, partner of Universitat de Barcelona, for the characterization and processing of novel materials developed in the project for new highly
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the Spanish National Plan for Scientific and Technical Research (Plan Estatal, AEI/FEDER). The project will develop innovative methods for the integrative analysis of multimodal nutrition data, using ontologies