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contracting - see point 2 of article 10 of FCT Research Grant Regulation no. 950/2019 - and personal identification elements) *. * mandatory requirement Work plan: The candidate will carry out R&D activities
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of grant, consecutive or interpolated. Preferences Requirements: Preference requirements include proved experience in techniques for protein extraction and analysis, namely salivary proteome, including
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PRR - Plano de Recuperação e Resiliência and Fundos Europeus Next Generation EU (AVISO N.º 02/C05-i01/2022, Component 5 – Capitalização e Inovação Empresarial - Agendas Mobilizadoras para an Inovação
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mechanical modules) 3. Support for the generation, analysis, and selection of concepts 4. Assistance in developing the “ScanSanding” surface inspection module 5. Monitoring of tests for various modules
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-Law no. 66/2018, of august 16th, and any formalities established there must be fulfilled until the time of signing the contract. Activity Outline: Research and Preliminary Studies, analysis of technical
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ASSOCIACAO ISCTE CONHECIMENTO E INOVACAO - CENTRO DE VALORIZACAO E TRANSFERENCIA DE TECNOLOGIAS | Portugal | 3 months ago
for decision support. Additionally, you will be expected to contribute to x-ray data analysis projects and generate three scientific publications in peer-reviewed journals during the project period. The role
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blood samples; • general molecular biology techniques, namely in PCR, Sanger sequecing and nucleic acids extraction (DNA and RNA); • NGS; • Clinical data analysis; • Statistitical analysis
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. Selection panel: the Jury is composed by the following elements: President, Doctor Sandro Emanuel Salgado Pinto, Principal Investigator of the Centro ALGORITMI of School of Engineering of University of Minho
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organizations and public authorities. Activities to be carried out 1. Analysis of the Whistleblower Protection Environment Review the relevant literature Supporting the analysis of previously collected data
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Python and R; - Training and knowledge in Remote Sensing (optical, LiDAR and SAR data); - Experience in statistical inference and regression analysis applied to the estimation of forest variables using