255 data-science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Wayne State University
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experience with PC and computer based applications and local area network technologies. Some knowledge of University administrative systems, including FMS/BAR, HRMS, PPS, GBS etc. Ability to communicate
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of the Principal Investigator, provide scientific and technical assistance to complete laboratory based, clinical or population science research. May assist in writing research protocols and in manuscript
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of the Principal Investigator, provide scientific and technical assistance to complete laboratory based, clinical or population science research. May assist in writing research protocols and in manuscript
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information and resolve problems. Serve as an information source to faculty, staff, students and the general public; answer questions, provide information and resolve routine problems regarding operations and
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interpretation of human resources policies, legal and union contract compliance and market data. Maintain confidentiality of sensitive employee, organizational, and compensation information. Assist in
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public or technical service unit in the University Library System. Work activities necessitate proficiency in library methods and procedures and the ability to utilize on-line computer systems and standard
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scientific and technical assistance to complete laboratory based, clinical or population science research. May assist in writing research protocols and in manuscript preparation. Design and perform research
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for a public or technical service unit in the University Library System. Work activities necessitate proficiency in library methods and procedures and the ability to utilize on-line computer systems and
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deliver further results. TECHNOLOGY: Proficient in using technology to develop, implement, track and analyze programs designed to maximize outreach efforts using student information systems (Banner, Datatel
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. Microsoft office software skills. Preferred qualifications: - Master’s degree preferred in bioinformatics, computer science, data science, or a related discipline. - Experience with large-scale omics data