471 data "https:" "https:" "https:" "https:" "UNIVERSITY OF RIJEKA" positions at Virginia Tech
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partnerships, client management, and/or innovation/partnerships function. • Previous experience in developing strategies using data analytics, technical/domain knowledge, and/or competitive/market intelligence
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. *Demonstrated knowledge of risk management practices. *Experience or training with cash/revenue management. *Demonstrated knowledge of computer programs, including Windows, Microsoft Office Suite, or similar
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education • Strong verbal and written communication skills • High proficiency in Microsoft Office Suite, Canvas, data management systems, and social media platforms Preferred Qualifications • Ability to work
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entries and creating or editing bibliographic records. This role collaborates with faculty and staff in the Data Services unit and subject specialists across VT Libraries. Required Qualifications
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ability to work with confidentiality and handle sensitive information with discretion. • High level of maturity and sound judgment, with experience planning, prioritizing, and organizing a diversified
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Appointment Type Regular Salary Information $80,000 - $83,000 Hours per week 40+ Review Date 2/6/2026 Additional Information The successful candidate will be required to have a criminal conviction check. About
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optimize LIFU as a new human brain mapping tool and for translation to clinical therapies in addiction, mental health and pain. Knowledge in basic computer skills, record keeping and experience with human
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Job Description A postdoctoral opening is immediately available in the Soft Materials and Structures Lab under the direction of Dr. Michael Bartlett at Virginia Tech (https://bartlett.me.vt.edu
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are provided for diverse career development activities, including: • Skill Development: Acquiring new research techniques (e.g., AI/ML, data assimilation). • Networking: Establishing a strong professional
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fingerprinting and forensics in multi-source watersheds. The Postdoctoral Associate will contribute to project design and lead laboratory work, data analysis and modelling in collaboration with the OWML PFAS