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Field
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space
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advanced wireless technology with innovative computing to shape the future of cloud computing in 6G communications systems. The department offers a collaborative and inclusive culture that promotes
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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through high-quality publications. Desirable Criteria: 13. A PhD (or be close to submission) in Electrical Engineering, Energy Systems, Control Engineering, Computer Science, Artificial Intelligence, or a
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is part of the Prostate Cancer Program and is located next to the Nelson Lab (https://research.fredhutch.org/peternelson/en.html) and the Haffner lab (https://research.fredhutch.org/haffner/en.html
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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, you will be focusing on the topic of Brain Neuro-Adaptability to Pain, in particular brain oscillations in pain conditions and non-invasive brain stimulation. You will be working alongside PhD students
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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, qualifications in relation to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication