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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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on industrial hemp and specialty crops with responsibilities evolving to meet the needs of the university and department. The successful candidate is expected to develop an independent research program focused
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fellowship or training grant, that develops the individual’s research skills for their primary benefit. * Applicants must meet the eligibility requirements for funding by a T32 mechanism. Job Description
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University of California, Los Angeles | Los Angeles, California | United States | about 16 hours ago
: See Table 23 for the salary range for this position [https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf ]. A reasonable estimate for this position is
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Affairs. The FY25 minimum is $76,383. The research group led by Dr. Zihuai He (https://profiles.stanford.edu/zihuai-he (link is external) ; https://www.zihuai-he.com/ (link is external) ) at Stanford
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statistical and computational analysis Contribute to proposal writing Complete project tasks by assigned deadlines Prepare and publish in peer-reviewed journals Present at conferences Submit computational tasks
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contribute to existing projects and will also have the opportunity to develop independent or collaborative lines of research aligned with the lab’s mission. The successful candidate will play a major role in
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development including radiological imaging of cadaveric specimens for teaching and research. Candidates will be expected to participate in research of any type in association with faculty in the Department
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community. More information about FunInBio can be found here: https://reporter.nih.gov/project-details/11144035 Job Duties Develops and conducts a curriculum tailored to training biologists in bioinformatics
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institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination