Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
analyze data for experiments evaluating vernalization requirements in different turfgrass species such as perennial ryegrass and hard fescue. Investigate the molecular regulation of vegetative-reproductive
-
new therapeutics and will be in charge for neuromodulation and neuroimaging hardware and software arrangements, collecting and analysis of data, and publishing the new discoveries. Note: Position tasks
-
&A Staff Please visit the Office of Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive benefits package that includes: Competitive wages
-
%). • Contribute to data and lab management (5%) Qualifications Required Qualifications: • PhD, DO, MD or similar degree in health sciences or related field • 3+ years experience in biological sciences laboratory
-
and Benefits Pay Range: $62,232 annually; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit
-
at the University of Minnesota seek a motivated scientist with applied field research experience to evaluate existing data from research trials conducted in Minnesota and establish and coordinate nitrogen fertilizer
-
Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
-
extraction and RT-PCR. Prepare samples for next generation sequencing (NGS) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use
-
aspects of immunity. Pay and Benefits Pay Range: $61,008 to $70,344; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information
-
implementation of various projects, including (but not limited to) scaling, algorithm development, scaled score development and documentation. Support the creation, management, and retention of large-scale data