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dedicated researcher to join our team on two projects. The first project focuses on advancing the thermo-mechanical modelling of runaway electron-induced damage of plasma-facing components in contemporary
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oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional
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experiments. As a further step, we might be able to capture certain types of behavior as boundary conditions or extensions of continuum models, which are being developed together with collaborators
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, data analysis and presentation of the result. The data analysis might include some coding in python for creating/modifying short scripts for using Machine -Learning or modal analysis techniques. What we
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assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach, analyse and work with complex issues, present experience with electromagnetic
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characterized using electron and scanning probe microscopy and x-ray spectroscopy techniques in combination with cyclic voltammetry. For further details on the methods that we use to electrochemically modify
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invites applications to a postdoctoral position supervised by Kathlén Kohn. The position focuses on research in applied algebraic geometry within machine learning and computer vision. The position is
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for a project in machine learning for cryogenic electron microscopy (cryo-EM). Cryo-EM is a method for imaging biological macromolecules using transmission electron microscopes. The end result of
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computer skills, including proficiency in programming languages (such as Python, Java, or C++), experience with database management, and familiarity with software development tools and methodologies. You
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. This eligibility requirement must be met no later than the time the employment decision is made. The focus area should be related to extended reality, human-computer interaction, and/or human-centered technology