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at the intersection of AI and advanced electron microscopy. The project focuses on developing novel self-supervised and physics-informed deep learning methods to restore and denoise Transmission
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of the bacterial chromosome structure. Technical building blocks could include state-space models, generative models in the form of diffusion models, deep learning, optimal transport, and probabilistic modelling in
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thermodynamics, with an emphasis on both theoretical and practical applications. Experience in machine learning and AI, particularly deep learning frameworks such as TensorFlow, and their application in fluid
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. The applicant is expected to meet the following requirements: Deep technical documented proficiency in analog, RF, and mixed-signal IC design using advanced CMOS technologies. Well-versed in the end-to-end design
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look forward to receiving your application! At the intersection between AI and single atoms. Your work assignments We are looking for a PhD student with a background in machine and deep learning with
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thermodynamics, with an emphasis on both theoretical and practical applications. Experience in machine learning and AI, particularly deep learning frameworks such as TensorFlow, and their application in fluid
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on the following assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power
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assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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, for example, Machine Learning, Deep Learning, Artificial Intelligence, Information Security, or related subjects. Alternatively, you have gained essentially corresponding knowledge in another way. The position