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demonstrate experience and skills in: a) Knowledge of and experience in the use of qualitative and/or quantitative research methodologies, demonstrable, for example, through co-authorship of publications
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to mandatory enrolment and attendance in a degree-awarding third-cycle course; Interest in applied research in the fields of sport and social sciences; Basic knowledge of statistics and SPSS software, as
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will be assessed according to the following weights and criteria: - Criterion 1: Motivation and interest - Criterion 2: Knowledge and profile appropriate to the functions to be developed - Criterion 3
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of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force. (https://www.fct.pt/apoios
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 9 days ago
two years in that type of grant, whether consecutive or intermittent. Candidates are expected to have scientific and technical knowledge on the following eliminatory parameters: Genomic DNA extraction
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and incorporation systems for ingredients that are rich in fiber and other carbohydrates is required. Candidates must have good knowledge of the English language. Preferred Factors: Preferred
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knowledge in mechanical vibrations and nonlinear dynamics, demonstrated through scientific publications and successful completion of 2nd and 3rd cycle (Master’s and PhD level) curricular units (proven
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– Knowledge ad profile appropriate to the functions to be developed – 50% - Criterion 2 – Motivation and interest – 50% VII.III- The evaluation of the criteria and the final classification will be based on a
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- The curriculum evaluation considers the candidates' academic and professional achievements based on the following weights and criteria: - Criterion 1 – Specific knowledge related to the work plan - 50% - Criterion
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other areas than those mentioned above – 0 points d) Knowledge and experience in: i) analytical methods (SPE, QuEChERS, DLLME) to quantify contaminants using GC-MS/MS and/or LC-MS/MS; ii) statistical