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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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will perform research with substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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-mentioned methods Provide guidance to PhD students Disseminate results through scientific publications Prepare research proposals to attract industry partnerships as well as national and European grant
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-analysis software; managing procurement and technical liaison with campus workshops; planning and analysing imaging experiments with collaborators; supervising and mentoring junior researchers; and
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(at least 2 first-author publications) • Experience with numerical simulations and/or geochemical modelling software • Advanced knowledge of isotope geochemistry and/or related field • High proficiency in
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mechanics of yarn fibers and textile structure inform the development of robust software modeling tools and testing instruments for realistic fabric simulation that enable inverse design. Ability to work in a
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical