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recombinant approaches to define mutations impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate
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diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all
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The Department of Biotechnology and Food Science, Institute of Food Technology is currently seeking a Postdoctoral Research Associate (Reference code 14) Extent of employment: 40 hours per week
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contracts and your satisfactory job performance. All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s
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—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome
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ordering supplies, excellent record-keeping, safety compliance including correct chemical maintenance and disposal practices, analysis and presentation of data, archiving data in forms useful to other
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, Electrical and Computer Engineering, or a closely related field. ● Proficiency in MATLAB or Python. ● Prior experience with Neuroimaging analysis (using FSL, AFNI, SPM, etc.) ● At least one
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and department requirements Work Schedule varies based on assignment Driving University Vehicle No Security Sensitive This is a Security Sensitive Position. Special Instructions Applicants must submit a
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
employee benefits! As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 4 hours ago
security. The candidate will also lead projects and supervise graduate students. Prior experience in scientific machine learning is highly desired. Other Work/Responsibilities Necessary Licenses