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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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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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essentially corresponding knowledge in another way. The applicant is expected to meet the following requirements: Deep technical documented proficiency in analog, RF, and mixed-signal IC design using advanced
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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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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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, 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
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning