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- ICN2
- Institute for bioengineering of Catalonia, IBEC
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- UNIVERSIDAD POLITECNICA DE MADRID
- Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida)
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Field
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Postdoctoral Positions in ‘Development, Stem Cells and Tissue Regeneration’ Lab of Prof. Yuval Rinkevich Positions are available for outstanding and motivated individuals with Ph.D degrees in
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RESEARCH STRUCTURES (PAID-10-22) 142486 Design, development and validation of graphene-based materials and polymeric membranes as components for fuel cells. Where to apply Website https://www.upv.es
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The project's main tasks focus on the development and optimization of new retroelement-based genome engineering tools; the design, execution, and analysis of molecular and cellular biology experiments; and the
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are: Participation in the development and implementation of applied clinical research projects and clinical trials with drugs. Design, development and monitoring of clinical and translational research protocols in
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€) based on the candidate’s qualifications and experience. Flexible 37.5 hours working week Free parking available at our facilities. Continuous training plan to support your professional development. Good
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quantitative data analysis. Strong programming skills in Python, including the development of reproducible data-analysis pipelines. Experience coordinating research or data-analysis tasks across projects. Strong
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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understand how cells spatially organize to drive solid tumor development, and it brings together three fast-moving fronts: spatial proteomics, lineage tracing technologies, and laboratory automation
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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational