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Organization; Game Theory; and Economics of Information and Innovation. • 60 annual teaching hours. • Collaborate and participate in activities organized within the department and research group. Postdoctoral
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7 Mar 2024 Job Information Organisation/Company Universitat de Barcelona Department OPIR- International Research Projects office Research Field Arts Educational sciences Researcher Profile
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) Download Additional Information Benefits A full-time work contract (37.5 hrs/week). The researcher will have the possibility to participate in teaching activities for professional development (not obligatory
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sciencesEnvironmental scienceYears of Research Experience1 - 4 Additional Information Benefits A full-time work contract (37.5 hrs/week). The researcher will have the possibility to participate in teaching activities
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possibility to participate in teaching activities for professional development (not obligatory, though). Gross salary per year : 29.400,00€ ( 14 payments) Eligibility criteria A specific committee will
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to support a new Knowledge and Innovation governance structure to adress food Systems challenges and develop effective solutions in Europe. The aim of FoSSNet is twofold, on one hand to establish a permanent
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, researchers and citizens – the platform will make it possible to navigate diverse food sharing landscapes and cultures, in order to understand, develop, replicate, expand and strengthen sustainable food sharing
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-time work contract (37.5 hrs/week). The researcher will have the possibility to participate in teaching activities for professional development (not obligatory, though). Eligibility criteria A specific
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most at risk of victimization. Furthermore, WomEmpower will study how structural inequalities (poverty, immigrant status, race, lack of education/services) in the EU shape the risk of victimization, as
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Programme? European Union / Next Generation EU Reference Number CEX2021-001202-M Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop and train machine learning