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cycle. The data extraction will be based on existing machine learning development made by the team, in particular the use of quantile regression neural networks. There exists no other measurements
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techniques to solving complex problems within the energy systems. The candidate should have a strong foundation in deep learning techniques (including convolutional neural networks, recurrent neural networks
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. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using convolutional neural networks (CNNs) trained on simulated data, enabling faster and
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wide range of academic fields, Ghent University is a logical choice for its staff and students. Image Processing and Interpretation (IPI, http://ipi.ugent.be ) is an imec research group at Ghent
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@MGI determines the functional impact of genetic variants (mutations) by engineering those variants into human cells. We use high content confocal microscopy and deep neural networks (machine learning
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-functional teams, conduct code reviews, and provide guidance on software design and best practices. Develop and implement advanced AI/ML models, including deep neural networks, transformers, LLM-based systems
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brings a strong combination of academic and industry experience. They will possess deep, hands-on expertise in modern AI architectures including convolutional neural networks, transformers, and diffusion
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and responsibilities The Project Expert performing as Senior AI Solutions Developerwill: Develop and implement advanced AI models, including deep neural networks, transformers, LLM-based systems
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, Computer Vision Models, Deep Neural Networks, and/or other 'AI' or Machine learning fields. We particularly welcome candidates whose work centers on the human or social aspects of the implementation
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demands are significant challenges of today’s AI systems. One promising alternative is spiking neural networks (SNNs) executed on neuromorphic hardware. Neuromorphic computing tries to mimic how the brain