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a pipeline to map multi-source water utility data into a consistent, documented target model (schemas +semantics). 2. KAG-based assistance: develop KAG components that support (semi-)automatic
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the development and implementation of dynamic models for learning and flexible decision-making in human–robot interaction contexts; •Knowledge of robotics simulators (preferably CoppeliaSim); •Knowledge of ROS
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of Bioinformatics, databases and data modelling, Artificial Intelligence and/ or natural language processing; Previous experience in the development of software, preferably in the Python language. Workplan and
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status are eligible to apply for this competition. 5. Candidate eligibility requirements: a) Skills in numerical modeling of the polymer injection molding process. b) Skills in computer programming. 6
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will apply predictive, Bayesian modelling for predicting performance of microbial consortia based on mass transfer, metabolic pathways and proteomic analysis. The work plan will also include developing
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correspond to the same Portuguese qualifications. The respective scores can only be used if they are officially converted to the Portuguese scoring scale (by DGES – Direção Geral do Ensino Superior or by a
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. antioxidant, antimicrobial and gut-health–related endpoints); (iv) incorporation of selected ingredients into model food prototypes and evaluation of shelf life, microbial safety, texture and sensory quality
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recognition/equivalence document is produced stating that the foreign qualifications correspond to the same Portuguese qualifications. The respective scores can only be used if they are officially converted
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microreactor designs, machine learning, and advanced modelling to foster transformative green and digital technologies with global impact in clinical, environmental, and food sectors. Enquiries Informal