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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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, 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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to equity, excellence and impact. VU’s vision, outlined in our strategic plan Start Well Finish Brilliantly (2022–2028) , is to be a global leader in dual-sector research and learning by 2028. Our strategic
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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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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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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
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applications, and presenting research at local, national and international forums. PhD supervision and public engagement experience is also desirable. You will bring deep expertise in ML/DL techniques, NLP
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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The candidate will be expected to work on a project in collaboration with Schaeffler to conduct research on “collision monitoring and control system of cobot based on fiber optic sensing and deep