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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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biological chemistry are encouraged to apply. Additional information about the PATS program as well as descriptions of our academic programs and research interests of faculty may be found at www.bu.edu
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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application! Work assignments As a postdoctoral fellow, your main task will be to conduct cutting edge computational social science research. The research will be carried out within the context of the Swedish
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to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a focus on charge
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Location: Department of Engineering Science, Parks Road, Oxford, OX1 3PJ About the role We are seeking a full-time Postdoctoral Research Assistant to join the Computing Infrastructure research group
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 5 hours ago
electrophysiology, functional imaging, or light/electron microscopy Familiarity with genetic and molecular biology tools Background in computational modeling of neural systems A demonstrated ability to secure
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with bipolar membranes (BMED] for sustainable desalination brine treatment, at the crossroads of electrochemistry, membrane science, and environmental engineering. Main Responsibilities Design and
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Computing Infrastructure research group at the Department of Engineering Science (central Oxford). The post is
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on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Experience and skills Required experience and skills: Extensive