12 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at University of Pittsburgh in United States
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. Preferred candidates will be responsible for one or one sub-project that integrates with the portfolio of the research group portfolio which includes articulating the problem, developing the research plan
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going to our job site (https://cfopitt.taleo.net/careersection/pitt_faculty_external/jobsearch.ftl ), searching job code 25005706 in the keyword search, and submitting your materials through our Pitt
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. Interested applicants may apply at https://www.join.pitt.edu under Job ID: 26000407 The University of Pittsburgh is an equal opportunity employer / disability / veteran. Assignment Category: Full-time regular
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NMRL/WHPRC see http:// www.nmrl.pitt.edu/. Job Summary Assists with and/or conducts laboratory experiments and routine tests and scientific tasks. Performs data and specimen collection and processing as
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NMRL/WHPRC see http:// www.nmrl.pitt.edu/. Job Summary Assists with and/or conducts laboratory experiments and routine tests and scientific tasks. Performs data and specimen collection and processing as
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carries a clear expectation to develop an independent, externally funded research program, including preparation and submission of NIH R01-level grant applications, alongside manuscript authorship and
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integration with an active research program mentoring undergraduate and graduate students. The successful candidate will lead collaborative proposal development (30%), provide technical leadership for water
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looking for a Research Assistant Professor to work with Dr. Sindhi. Qualifications: PhD degree in Computational Biology/Bioinformatics Demonstrated excellence in research and academic achievements
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models. Essential Functions Requires the ability to visualize a computer screen, to work with computer hardware and software, to communicate verbally and in writing, and to use a phone. The candidate must
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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan