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), molecular biology, and cell-based assays. Hiring Requirements: If the qualification has been granted by a foreign higher education institution, it will have to be recognized by a Portuguese higher education
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activities within the scope of the T3SH-City project. The methodology to be adopted will follow an interdisciplinary approach, integrating stages of modeling, experimentation and validation, highlighting
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VIII.I- Mandatory documents to attach when applying: - Curriculum Vitae, duly updated, dated, and signed; - Copy of academic degree certificates. a) If the possession of a degree is a requirement
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– Proven experience in molecular biology techniques*; 2– Bachelor’s degree in Biochemistry, Biomedical Sciences, Biological Sciences, or related areas*; 3 – Proficiency in spoken and written English; 4
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
the presence of fundamental degrees of freedom, such as ultralight scalar fields. These are an interesting dark matter candidate, known to effectively provide a time dependent coupling to the standard model. We
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of Coimbra III- Scientific supervision/coordination of the grant: Teresa Maria Fonseca Oliveira Gonçalves IV - Work Plan / Goals to be achieved: Experimental testing and simulation in real environments
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) Analysis of standard documentation related to the project of bogies; iii) Bogie modelling and design. Legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording (Statutes
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | about 1 month ago
) Maintenance of iPSC cultures and retinal organoids. b) Execution of molecular and cell biology experiments according to the Dancing Genomes project work plan. c) Analysis and interpretation of results
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the University of Porto Research Scholarship Regulation. The scholarship is framed within the scope of the research line “Habitar”, of the research group Morphologies and Dynamics of the Territory, and will be
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., reinforcement learning, adaptive planning, demand forecasting) to optimize the following aspects: dynamic routing and traffic management; resource allocation (e.g., vehicles, charging stations); response time to