13 PhD Positions in nanotechnology Postdoctoral positions at University of Utah in United States
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laboratory notebooks and ensure compliance with laboratory safety guidelines Present at relevant scientific conferences and meetings to stay current with the field. Minimum Qualifications PhD in a relevant
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and contact information of three references. Please directly email your application or any questions about the position to [email protected] or [email protected] with the subject line
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the position description. Preferences PhD or other doctoral degree with research experience in a health or social science discipline (applicant can be ABD at time of application) -Experience with autism research
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Preferences • PhD/MD, or equivalent degree in systems biology, toxicology, immunology • Record of scientific achievement through publications and presentations • Independency with next-generation sequencing
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research and produce scholarly work within an R1 university setting. Based on the expectations for this position, candidates will have an excellent research trajectory and must hold a PhD degree
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Warehouse (CDW) and the University of Utah Center for High Performance Computing (CHPC) environments. This position will prepare the incumbent for real world setting issues on large, complex healthcare data
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methods with the type of microdata held in the WFRDC. The successful candidate for this position will have a record of working with socio-demographic data and AI methods, and a commitment to responsible AI
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) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules. This position may require the successful completion of a
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External Posting Pay Rate Range $20,000 to $50,0000 Close Date Open Until Filled No Job Summary Applications are invited for a position in the rapidly expanding data analytics run by Professor Adam Dubis
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External Posting Pay Rate Range $56,000 - $68,000 Close Date Open Until Filled No Job Summary Applications are invited for a position in the rapidly expanding data analytics run by Professor Adam Dubis