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Field
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding
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candidate will work with a three-person team of software engineers to integrated algorithms into the Epilepsy Navigation (EpiNav™) software platform for stereotactic neurosurgery planning. The successful
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in
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skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models Experience with Pytorch, MONAI, CUDA or equivalent software
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collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a PhD degree (or equivalent) in a relevant academic area such as applied
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analysis software (e.g., Atlas.ti, MaxQDA, SPSS) Excellent command of at least two of the following languages: Luxembourgish, German, French (both written and spoken); proficiency in English is an asset We
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on the VLA through software building · Assisting the Project Scientist with hardware upgrades and repairs at the VLA site · Collaboration with a diverse team of researchers at the University of New
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-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a
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the problem of how to build hardware and/or software agents that can autonomously act on our behalf in pursuit of delegated preferences has been studied continually, albeit mostly in the context of classic AI