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recognized researchers and industry experts. • Competitive MSCA funding package including Living, Mobility, and Family Allowances (where applicable). • Full employment contract and social security coverage
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that their application has been successfully registered in the job offer. The following documentation must be attached: Cover letter The candidate's curriculum vitae (CV) (include a mobile phone number and
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cytometry. - Experience in cell culture management - Versatility and teamwork LanguagesENGLISHLevelGood LanguagesSPANISHLevelGood Internal Application form(s) needed OfertaEmpleo_RD24_Grado_Dr Ortiz.pdf
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Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Aug 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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recognized researchers and industry experts. • Competitive MSCA funding package including Living, Mobility, and Family Allowances (where applicable). • Full employment contract and social security coverage
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INSTITUT CATALÀ DE NANOCIENCIA I NANOTECNOLOGIA | Universitat Autonoma De Barcelona, Cataluna | Spain | 3 months ago
APPLICATION AREAS OF RESEARCH Health Energy Environment Information, communication and quantum technologies Candidates can review the research lines here: http://icn2.cat/en/research During the application
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aging of simple OSC devices, correlating the temporal evolution of SPC parameters with morphological changes and photovoltaic characteristics using accelerated lifetime testing (Task 3.2). • Application
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to selectively induce tumour cell death through the concept of synthetic lethality. The growing understanding of the genetic basis of these disorders has fostered the development of new therapeutic strategies. In
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APPLICATION AREAS OF RESEARCH Health Energy Environment Information, communication and quantum technologies Candidates can review the research lines here: http://icn2.cat/en/research During the application
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the application of recently proposed SoA methods such as dynamic weighted phase shift migration for ultrasonic B-scanning; Development of an automated Machine Learning (ML)-based tool for defect ICQ from LR NDI