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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
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inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation and maintenance prediction and integrate analytics
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that preserves object identity or style. They should have a solid publication record in top-tier computer vision conferences such as CVPR, ICCV, or ECCV, and demonstrate proficiency in deep learning frameworks
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=KFUbXYYAAAAJ&hl=en https://sites.google.com/site/matejhof/publications/harmonious Orcid 0000-0001-8137-3412 H-index (WOS) 17 Website for additional job details https://www.cvut.cz/en/ctu-global-postdoc
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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, France [map ] Subject Areas: Statistics Machine Learning / Machine Learning Statistical Physics Mathematics Probability Appl Deadline: 2025/12/20 11:59PM (posted 2025/11/25, listed until 2026/05/25
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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
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dataset using a physically based model, using a unique hydrometeorological dataset for the Reynolds Creek Experimental Watershed, and then apply Artificial Intelligence/Machine Learning (AI/ML) methods
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 6 days ago
for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f/m/d) on Generative AI for de Novo Protein Design. Your tasks # Design of