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Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) | Spain | about 1 month ago
experiments and interpret results. Contribute to biomarker discovery and predictive model development. Support data visualization, reporting, and dissemination of findings in publications. Requirements PhD in
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Postdoctoral position to carry our research and development in the areas of (i) multilingual text simplification for citizens with language comprehension challenges and (ii) multilingual and multicultural
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inernational conference) to be decided in collaboration with the PI. -Contribute to the professional development and intellectual endeavours of the team. The PI will similarly commit to a concrete plan of
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group. The position will be mentored by Dr. Deborah Pareto. Information about the Neuroradiology Group: https://vhir.vallhebron.com/en/research/neuroradiology . Main responsibilities and duties
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Development of robust design methods Uncertainty quantification and management in structural design Processing optimisation and thermal analysis of polymers Non-destructive testing Experimental characterisation
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knowledge of biochemistry. Experience in obtaining and modifying extracellular vesicles is required. Experience in project management would be an asset. Previous experience in the development of advanced
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candidates should have research expertise in Theoretical Physics, along the strategic lines of the Beyond the Standard Model and Astroparticle Physics and Cosmology groups (https://www.ifae.es/groups/theory
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Molecular Oncology group (http://bit.ly/molonco ) at Institut de Recerca Biomèdica de Lleida
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Development Cooperation (AEI) of the Ministry of Science, Innovation and Universities. The contract is for approximately three years with a probationary period as per the collective agreement. Content
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researcher will lead, together with Dr. Daniel Montoya and other project members, the development of agroecological models that simulate crop rotations in space and time under a scenario of climate change