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the evaluation of the academic record, the candidates' academic performance will be assessed according to the following weights and criteria: - Criterion 1: Knowledge in interface design - Criterion 2: Proficiency
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criteria: - Criterion 1: Academic background - Criterion 2: Specific knowledge related to the work plan; - Criterion 3: Publications in conference proceedings and scientific journals. VII.II- I – In
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
curricular background" will focus on the relevance, quality, timeliness, specific knowledge, and proven prior experience, based on the application documents and in accordance with the following criteria: a
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) Development of computer models and simulations; 3) Experimental tests and trials; 4) Prototype implementation and validation; 5) Dissemination of results and dissemination of the generated knowledge
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criteria: - Criterion 1 – Academic background (10%) - Criterion 2 – Adequacy of the candidate’s profile to the work plan to be developed (40%) - Criterion 3 – Specific knowledge related to the work plan (20
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) curriculum vitae (40%), and c) experience in the area of research/previous knowledge of concepts and technologies relevant to the execution of the project (40%). Scholarships may not be awarded if applications
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(MI) Theoretical and Technical Knowledge (TTK) Critical Sense (CS) Verbal Expression and Fluency, including in English (VEF) Each parameter is valued from 0 points to 1.25 points according
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(MI) Theoretical and Technical Knowledge (TTK) Critical Sense (CS) Verbal Expression and Fluency, including in English (VEF) Each parameter is valued from 0 points to 2.5 points according
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» BiodiversityEducation LevelMaster Degree or equivalent Skills/Qualifications Master’s in Biological Sciences, Agricultural Sciences, or similar. Experience and knowledge in Microbiology and Molecular Biology
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: Scientific knowledge in life and health sciences (0 to 5 points); Knowledge of experimental procedures and cell models (0 to 5 points); Communication skills in English and data analysis (0 to 5 points