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committees to complete the strategy of a new scientific topic, called data-centric materials science. Requirements: 1. Education: Degree in Computer Science, Engineering, Mathematics, Physics, or equivalent
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for the long-term health of our code repositories and the versioning of models and data (Git, DVC, MLflow). Requirements: Education: Ph.D Degree in Computer Science, Engineering, Mathematics, Physics
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information from heterogeneous, frequently changing pages. The role requires strong software engineering fundamentals and a focus on efficiency, reliability, and data quality at scale. Reporting line
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integration of data from industrial sensors. Professional Experience: In technological development or engineering projects related to control systems, artificial intelligence or data processing. Software
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software: Overleaf. Specific Requirements Knowledge: Control of power converters. Creation of micro-grid testbeds. Resolution of large systems of equations. Control and protection interaction patterns
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data for European and international funding applications. Specific Requirements PhD in Physics, Engineering, Mathematics, Computing, Bioinformatics or related fields. Master's degree in Data Science
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description- Support in the implementation of activities related to technology in Mathematics Education in Primary Schools. - Data collection and data analysis of the implementations. - Design of mathematics
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of control software and data management systems for the automated laboratory. Development and deployment of AI algorithms for adaptive experimental planning, optimization of experimental space, and automated
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minimum 8 points): Required Qualification Ingeniería del software/ Software Engineer 2-. Exigibles (Máximo 75 y mínimo 50 puntos): Experiencia // Required (Maximum 75 points and minimum 50 points
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techniques for materials. Software tools to assist data analysis. Other requirements to consider: Critical thinking, problem solving and conceptual understanding. Management and teamwork skills are required