68 phd-software-testing-scholarship Postdoctoral positions at University of Minnesota
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job Duties: Lead development of core reconstruction and simulation software for the LDMX
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microbiological testing at interfaces within the compounding device prototype, assessment of the long-term stability of the fluid, and translating these findings into recommendations for the system design. Who
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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
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and technical skills, including data analysis, presentation and publication support Qualifications Required Qualifications: ● PhD or MD, with experience working directly with patients or research
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(rat and mouse) handling, husbandry, breeding, colony maintenance, behavioral testing, including, but not limited to metabolic phenotyping (i.e., spontaneous physical activity, energy expenditure), body
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-Doctoral Associate will communicate closely with Co-PIs on the projects, including Professor James Heckman (University of Chicago), Dr. Patrick Kyllonen (Educational Testing Service), and Professor Thomas
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applications from diverse candidates and are committed to creating an inclusive and supportive research environment. Job Responsibilities Data Analysis and Publication (50%) Test hypothesis around developmental
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analysis of test results and prepare written reports on work performed • Participate in lab meetings and journal clubs • May supervise other trainees in the laboratory. A successful candidate will have
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and testing of research hypotheses and data analysis, writing of papers, grants, and reports, preparation of presentations, and publishing manuscripts in scientific journals Attend, participate
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to food animal disease epidemiology.(50%) 2) Collect and organize data for research activities.(10% 3) Collaborate with the PI in the generation and testing of research hypotheses and data analysis, writing