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Field
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.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these
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the digitalization for risk management; therefore, it is expected that the candidate will be familiar with new methods such AI (deep learning) for subsurface studies (seismic interpre-tation). A part of the
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Informatics, Health Data Science, Biostatistics, or a closely related area. Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP. Demonstrated
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polarisation shaping, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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maintaining sequence databases, molecular phylogenetics and genomic sequence analysis. Experience with deep learning for structural biology and bioinformatics, protein sequence/structure methods, and
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deep, practical knowledge of the entire railway electrification ecosystem. You should also have a strong track record in cross-sector system modelling and data analysis with applications to power and
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, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field. * Strong background in deep learning (e.g., CNNs, transformers) and familiarity with emerging techniques for reasoning and
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advantage. Solid understanding of algorithm-hardware co-design, especially for robotics or edge AI deployment. Strong programming skills in C, C++, and Python, with experience in deep learning frameworks
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical