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Field
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Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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research, formulate hypotheses, and design effective experimental plans. Strong programming skills with deep learning frameworks (e.g., PyTorch). We regret that only shortlisted candidates will be notified
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Engineering » Electrical engineering Engineering » Control engineering Physics Mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr
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PhD/DPhil. You will also possess sufficient specialist knowledge, research skills and interests in generative AI and deep learning to work within established research programmes and contribute ideas and
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the future? PhD Research Fellow in “TwinFlow: Digital Twins for Multi-Use of Mobile Battery Fleet Systems” Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks
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, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based synthetic data generators
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and the ability to publish high-quality academic outputs. You are expected to have proven experience in developing and applying predictive deep-learning models for data-driven analysis and forecasting
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to diverse academic and industrial audiences. Proficiency in Python and deep learning frameworks such as PyTorch. Experience with Linux environments and GPU cluster management is essential. Competent in
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after thermal treatment to maintain gas flow and optimal detection. The PhD student will learn the synthesis of nanomaterials and their integration with 3D printing techniques. The synthesized materials