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Requirements: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto_Script, Machine and Deep learning and computer vision. To have
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essential. Familiarity with confocal microscopy is highly desirable, and basic bioinformatics skills (e.g., R, python) will be a plus. -Motivation to engage in teaching activities, as the position includes
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University System in a doctoral program with direct links to the research tasks to be carried out in the project. Demonstrable experience in the Python programming language that can be accredited through
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, identify and implement emerging trends and innovative approaches in sustainability assessments. Foster the use of programming and modelling resources (e.g., Python, MATLAB) for LCA applications. Provide
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Experience and knowledge:Required: Knowledge on current Bioinformatics techniques and computing in R and Python Fluency in English Desired: Valuable: Experience in single cell transcriptomics and/or immune
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) Programming knowledge and experience with Python (0-10) b) Experience in handling artificial intelligence models, as well as with libraries for their development such as scikit-learn, tensorflow or pytorch (0
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Information Eligibility criteria Criteria and assessment of merits The following merits will be assessed and scored: Knowledge of Matlab, Python, R and/or C++ (advanced level). They will be assessed according
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software (e.g., R, Stata, Python). • Interest in contributing to primary data collection with families, educators, and adolescents. • Willingness to keep learning and innovating theoretically and empirically
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, Mathematica, Python, Zemax, OSLO, COMSOL and LabVIEW. 3.2. Knowledge of English. 3.3. Knowledge of Catalan. 3.4. Qualification: Undergraduate degree (Spanish MECES level 2 or EQF level 6) and official Master’s