10 phd-cognitive-neuroscience Postdoctoral positions at Missouri University of Science and Technology
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well. Candidates with strong academic backgrounds in developmental psychology, developmental psychopathology, human development and family studies, and/or neuroscience are encouraged to apply. Qualifications A Ph.D
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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
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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
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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
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-on, operational knowledge of both GC-MS and UHPLC-MS/MS instrumental analyses and data processing. The successful candidate will focus on data generation and metabolomics analyses of various American Elderberry
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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
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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
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period of employment. Qualifications Minimum requirements include the need for a PhD Degree in medical or organic chemistry or related field by start of the appointment. Candidates will be evaluated
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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
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will be evaluated on: • Prior knowledge and demonstrated expertise in next-generation sequencing data analysis, computational systems biology, and/or data integration; • The ability