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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 2 months ago
rigor # Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis # Ready to work with time‑series data, sensor fusion, and feature engineering # Very good
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3 Dec 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Engineering Chemistry Engineering Mathematics Physics Chemistry Researcher Profile Recognised
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also very important to us. You are wondering what you can bring to the team? You will support the team by creating data-driven models for early fault detection in WTs. To do this, you will develop Normal
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 29 days ago
associated. with neurodegeneration or ischaemic heart disease. Predicting optimised regenerative response. Developing and validating predictive biomarkers, personalized interventions, and AI-driven models with
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-driven systems Demonstrated proficiency in at least one major programming language commonly used in AI/ML and scientific computing (e.g., Python), including use of modern software engineering practices
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Centre (STARC) The Energy Environment Water Research Centre (EEWRC) The Climate and Atmosphere Research Centre (CARE-C) The Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC
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This Employer https://main.hercjobs.org/jobs/21939891/graphic-arts-multimedia-design-technology-faculty-visual-communications-careers Return to Search Results
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-driven interface engineering, and atomic layer deposition (ALD) based surface modification for perovskite oxide electrodes. This position will contribute to next-generation high-efficiency electrochemical
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mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R
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the integration of financial strategy with operational execution, ensuring efficient, data-driven decision-making across the institution. Lead capital planning, campus infrastructure, and technology investments