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Field
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Center Information The successful candidates will join the research groups led by Dr. Yang Xie and Dr. Guanghua Xiao within the Quantitative Biomedical Research Center (QBRC). QBRC fosters a highly
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use proteomic data to identify novel regulators of nervous system stability in health and disease. Examples of the application of this type of workflow from the Wishart group can be found here: https
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version and the FCT Regulation for Research Studentships and Fellowships, in its current version (Reg. 950/2019 published in DR on 16th December: https://dre.pt/application/file/a/127230968 , or at the
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
oral communication skills. Application Materials Application Process: Apply online at https://hr.missouri.edu/job-openings , Job ID# 58187. Applications should include: 1) a cover letter with information
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/benefits
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the closing date of this advert: STHG.Applications@soton.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/403917/research-fellow-in-… Requirements Additional Information Work
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and learning environment for all our students, faculty, and staff. To learn about the Irving K. Barber Faculty of Science, go to https://science.ok.ubc.ca/ . For more information about UBC resources
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https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information. About you The candidate will hold a PhD (or be near to completion) in
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of deliverables Support in the development of Scientific papers BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https://diariodarepublica.pt/dr
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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making