11 phd-electrical-machine Postdoctoral positions at Missouri University of Science and Technology
-
the Department of Molecular Microbiology and Immunology, School of Medicine; Department of Electrical Engineering and Computer Science, College of Engineering; Department of Veterinary Pathobiology, College
-
formats. The candidate selected for this position must meet eligibility requirements to work in the United States through the period of employment. Qualifications Minimum Qualifications - PhD in
-
the field. Qualifications Minimum qualifications: A recent PhD in a relevant field (e.g., Public Health, Nursing, Gerontology, Health Services Research). Applicants must have completed their degree or expect
-
will analyze a series a mammalian fluids/tissue obtain associated with a study looking at the influence of Elderberry extracts on brain function. Qualifications The successful candidate will have a PhD
-
, machine learning, and plant genomics. Our lab seeks to explore and understand the network of plant genes, their regulation in response to environmental stress at the single-cell level, and the conservation
-
PhD in immunology, cell biology or a related field by start of appointment. Candidates will be evaluated on: Proficiency in cellular biology and multicolor flow cytometry and previous experience with
-
for publication; and assisting in the training of graduate students and new lab members. Work Hours: 8 a.m. to 5 pm., occasional evenings and weekends Qualifications Minimum qualifications • PhD in biomedical
-
for publication; and assisting in the training of graduate students and new lab members. Work Hours: 8 a.m. to 5 pm.,, occasional evenings and weekends Qualifications Minimum qualifications • PhD in biomedical
-
veterinary pathobiology. Qualifications PhD in any field of biological sciences (candidates with a DVM, PhD are encouraged to apply but not required). Candidates will be evaluated on: Strong background in
-
approaches to multi-level data analysis and structural equation modeling, as well as familiarity with relevant computer packages (SPSS, R, etc) is required. Strong writing skills are important as