38 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FEUP" positions at Texas A&M University System in United States
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, shared learning, and data-informed continuous improvement. - Supervise and mentor project staff and manage consultants and partners as needed. Stakeholder & Partnership Engagement - Represent the System
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spreadsheet applications. - Knowledge of project management. - Strong verbal and written communication skills. - Strong interpersonal and organizational skills. - Ability to present information clearly and
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verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer.
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. - Address specific requirements outlined by the funding agency. - Track submission deadlines and manage the submission process. - Create a Proposal Summary List of important data points in proposals
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records to determine whether the information provided is responsive and complete. - Identifies information that may be protected from disclosure under the Public Information Act or other law. - Redacts
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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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laboratory or technical equipment to perform data analysis, statistical analysis, and technical evaluation of research experiments and detailed records of data. ·Order and receive laboratory supplies and
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information gathered from a variety of sources within the enterprise to gain situational awareness and determine the effectiveness of an observed attack. - Receive and analyze network alerts from various
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supervision, provides support for the laboratory data assembly, development of customer statements and assisting clientele with routine questions. This position involves a blend of office (75+%) and laboratory
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knowledge. Is responsible for providing advanced technical support to research personnel, aiding in the design, deployment, integration, and management of research computing environments (compute, data