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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 23 days ago
treatment Selection process Selection methods: The selection methods will be the following: i) Academic and research merit (30%) ii) Experience in the development of research work in greywater treatment (40
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Party". whereas, The requirements for applying for the scholarship under the scope of the competition (REFERENCE) have been met, the process of evaluating the candidates and publishing the results has
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being freely accessed by any of the other applicants, in consultation process. III.2 Documents to be delivered: III.2.1. Curriculum Vitae, duly dated and signed, for the last five years (or the extended
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of the Ph.D. in Physical Engineering and Microtechnology programme and develop their research at the Imaging and Artificial Vision Lab - ImViA. During this period, the candidate will also undertake
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justifications. After completion of the evaluation process, the jury will draw up a ranking of successful candidates with their classifications. Hiring will be decided by the Chairman of the Board of Directors
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respetiva ponderação, com a seguinte fórmula: APCC= A*50%+B*50% A: CV quality - Weight: 50% B: Previous research experience in the field- Weight: 50% The evaluation process may include an interview
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. Selection process Selection methods: The selection methods will be the following: 1 - Evaluation of the curriculum and motivation letter with references (75%) The criteria used to evaluate the candidates
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within the partners of the project. Fluency in English (written and spoken) is required. Process, share, integrate and transfer responsibly the results of the project. I.4. Gross monthly wage: 2.351,53
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Area: The scientific area of this competition is Psychology. 2. Applicable Legislation: The competition and hiring process are governed by the provisions of Regulation no. 487/2020 - Regulations
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, foreseen in the application: 1-Development of the SUPERB framework 2- Definition of building classes and numerical models for physical vulnerability assessment 4-Definition of baseline data reflecting