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European Comission, under the following conditions: Scientific area: Biochemistry Admission requirements: - Solid knowledge in Biochemistry - Proven experience in saliva proteomics analysis Preference
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Requirements: - Scientific area: Environmental Sciences - With skills in laboratory experience. - Other requirements fluent in English 6. FUNDING AND SCHOLARSHIP COMPONENTS The Recovery and Resilience Plan will
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nutritional status, particularly in a hospital context; Experience in assessing the nutritional composition of food products designed for specific populations; Experience working in multidisciplinary teams
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areas relevant to the scholarship; Experience relevant to the development of the work plan; Motivation; Academic background. Interview (40%)Suitability of the candidate's profile; Knowledge
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? No Offer Description Work Plan: The work plan considers participation and the development of scientific activities in the area of energy poverty. The remaining members of the jury agreed with the work
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; c) Motivation shown in the motivation letter (0 to 5 points): Justification for choosing the scholarship and the research plan (2.5 points) Previous experience and relevant competences (2.5 points
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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | about 1 month ago
the exclusivity regime (available on the institutional website); Motivation Letter indicating your experience and suitability for the proposed work plan, particularly the preferred factors and the relevance
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the motivation letter (0 to 5 points): Justification for choosing the scholarship and the research plan (2.5 points) Previous experience and relevant competences (2.5 points) 9.4. The criteria and weighting
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courses integrated into the educational project of the University of Aveiro. Preference Factors: 1) Experience in areas relevant to the project, namely in vitro cell culture, cytotoxicity and nanotoxicology
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Professor Rui Madeira. Activity plan - The candidate will perform duties in Tasks T1 and T2 of the project, i.e., T1 – Streaming data processing; T2 – Real-time data-driven anomalous events detection and