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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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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 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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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
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 3 months ago
results Your profile # Completed university studies (Master) in the field of Chemistry, Physics, Earth sciences or related field # Experience in experimental work and instrumental analytics # Knowledge
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
international and multidisciplinary teams # Communicative, structured and target oriented way of working # Knowledge of German or English Our offer # A vibrant research community in an open, diverse and
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 months ago
to the following criteria: i. Motivation of the candidate to perform the functions (M) – 10%; ii. Proactivity and capacity for Autonomous work (PA) – 10%; iii. Knowledge of the tasks inherent to the functions (K
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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