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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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, willingness to learn, and strong listening skills. Passionate about innovation, with expertise in Linux development (Linux on Rail is a plus) and strong persuasive abilities. A PhD in Operating Systems or a
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reinforcement learning and other approaches for cross-domain generalization Qualifications Essential: PhD in Computer Science, Machine Learning, Computer Vision, Natural Language Processing, or closely related
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international academic conferences. Lab: https://keaslinglab.lbl.gov/ School: https://vcresearch.berkeley.edu/faculty/jay-keasling Qualifications Basic qualifications (required at time of application) PhD
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to join our team. Our lab focuses on developing and applying innovative statistical machine learning methods, single-cell multi-omics, and systems immunology approaches to investigate immune-mediated
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to manage research projects and to acquisition of national and EU funding. Qualifications As a formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Energy Engineering
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graduate and undergraduate students. Job Requirements REQUIRED: PhD in plasma physics, high energy physics, nuclear engineering, or a closely related field; experience with Monte Carlo charged particle
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are hiring a postdoctoral researcher to work on rethinking extraction methods at one of OCP Group’s production sites. The project will rely on Operations Research and Machine Learning approaches. The objective
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partners, and monitoring budgets. Required Qualifications : PhD: A PhD in digital public health, urban health, data science applied to health or urban planning, smart urban systems, or a related field