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Field
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Professor Arbel’s lab in the context of a grant focused on developing multi-modal causal deep learning models to predict future disability progression and treatment response in Multiple Sclerosis
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
(https://airbornescience.nasa.gov/mms) has a long history of providing research-quality, in situ meteorological measurements on multiple platforms as part of over 30 airborne missions since the 1980s. We
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multiple spatial and temporal scales. The PDRA will be based in the Geocoastal Research Group within the School of Geosciences at the University of Sydney. The School of Geosciences is a dynamic, collegial
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implementation of new virtualization, storage and backup systems; Scripting to automate routine tasks preferably using Python and/or Powershell. Familiarity with: Management of Enterprise solutions including
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; ability to juggle multiple tasks. Collaborative mindset with comfort taking direction and asking for help; strong interpersonal skills for working across academic and administrative units. Familiarity with
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., R and/or Stata). Technical Skills or Knowledge: Experience in data analysis. Strong quantitative skills. Ability to manage multiple projects simultaneously and meet tight deadlines. Preferred
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and with frequent interruptions. Understand and follow directions. Prioritize work and handle multiple tasks simultaneously. Qualifications: Degree in Biology, Medicine, Information/Library Science
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responsibilities include: Design, implement, and maintain network infrastructure including Juniper, Arista, and Cisco platforms. Support and troubleshoot wired and wireless networks across multiple sites. Manage and
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project by: Collecting, analysing and critically interpretating data sets from multiple techniques to characterise granular zeolite ion-exchange materials. Designing and developing new in situ synchrotron