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laboratory experience in classical microbiology techniques (preparation of culture media, isolation and identification of microorganisms, aseptic technique); b) Knowledge of molecular biology techniques
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criteria: - Criterion 1 – Absolute merit of Curriculum Vitae (30%) - Criterion 2 – Adequacy of the candidate’s profile to the work plan to be developed (40%) - Criterion 3 – Specific knowledge related
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that you will successfully complete your programme within a reasonable period of time, the scholarship will continue as planned. Funding must begin in 2026. The scholarship usually begins on 1st October 2026
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be assessed according to the following weights and criteria: - Criterion 1 – Absolute merit of curriculum vitae (30%); - Criterion 2 - Specific knowledge related to the work plan (30%); - Criterion 3
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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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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan
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be duly proven at the time of hiring. 2; 3. Preferred requirements: Experience using Machine Learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating
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to the following weights and criteria: - Criterion 1 - Motivation and interest (30%) - Criterion 2 – Knowledge and profile appropriate to the functions to be developed (40%) - Criterion 3 - Ability to express
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according to the following weights and criteria: - Criterion 1 – Absolute merit of curriculum vitae - Criterion 2 – Academic background - Criterion 3 – Specific knowledge related to the work plan Skills
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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