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apply machine learning algorithms with special attention to digital footprint reduction and data privacy. Functions to be developed: Develop methodologies and experiments to measure and optimize
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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9 Jan 2026 Job Information Organisation/Company Consejo Superior de Investigaciones Científicas (CSIC) Department Centre for Automation and Robotics (CAR) Research Field Technology » Transport
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Electrical Machines (a second-year course of the Bachelor’s Degree in Electrical Engineering, 4,5 ECTS credits, code 44221), as well as in other related subjects offered by the school. Additionally
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networks and in mobile & edge computing platforms. Where to apply Website https://networks.imdea.org/job/phd-position-on-safe-machine-learning-msca-final… Requirements Research FieldEngineering » Electrical
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
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FOR R&D&I ACTIVITIES IN THE RESEARCH AREA OF OPTIMISING THE USE OF IRRIGATION WATER THROUGH DIGITISATION.. (C-080/25). More information: https://tablon.upct.es/anuncio/ 8zy89AYjqV Deadline for submission
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PI & HOSTING GROUP The direct responsible persons for this post are Dr. Joost van de Weijer and Bogdan Raducanu, members of the Learning and Machine Perception (LAMP) team at the CVC. For more
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explainable AI techniques, machine learning, Large Language Models, case-based reasoning, and ontologies. Specific Requirements Programming in python, XAI libraries, machine learning and deep learning libraries
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Machine Design, Industrial Maintenance of Machinery and Automobiles, and Theory of Machines and Mechanisms. Additionally, the candidate will be expected to integrate into the department’s research lines