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Field
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qualification Academic achievements School leaving certificate, if applicable Course of studies Knowledge of the language(s) of instruction or working language(s) If applicable, relevant internships, work
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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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the scientific area of Chemical Engineering, enrolled in a doctoral degree. OR Master’s degree holders, in the scientific area of Chemical Engineering, enrolled in a non-degree-granting course. Knowledge of
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or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous
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characterization. This will require knowledge of statistical data processing. (ii) Assess the impact on soil/substrate of using wastewater for agricultural irrigation (Activity 2), in order to understand
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achievements course of studies knowledge of the language(s) of instruction or working language(s) if applicable, relevant internships, work experience Quality of the study project Quality of the study project
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– Academic knowledge – 20% - Criterion 4 – Adequacy of the candidate’s profile to the work plan to be developed– 40% Will be valued expertise in advanced organic synthesis and chemical characterization using
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methods: a) motivation letter (20%), b) 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
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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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to the characterization of the spinal cord before and after treatment. The candidate must have knowledge of the characterization of cell samples and tissues by immunofluorescence and RNA-ISH. They should also have