95 parallel-and-distributed-computing-phd-"Multiple" positions at University of Dayton
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communication skills and the ability to interact with diverse group of users at various locations is a must. Minimum Qualifications: R2 level: 1. Bachelor of Science degree in computer science/engineering or
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.+- Proficient with Microsoft Office software suite. Ability to prioritize work and manage multiple tasks effectively. Valid drivers license with low risk driving record. Due to the requirements of our research
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initiative to complete tasks on own. Demonstrated collaboration skills and ability to work as a team. Ability to handle multiple, concurrent tasks. Effective interpersonal communication skills to support
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engineer to provide technical leadership and direct technical contribution for multiple projects related to aircraft, ground support equipment, and vehicle sustaining engineering. Apply today! Under
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, ensuring compliance with sponsor requirements and the achievement of program objectives. A key responsibility will be performing in-depth business analyses to support strategic decision-making and providing
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experience in relevant field 5+ years in communication related role Experience in IT service management Ability to communicate across multiple IT disciplines (e.g., infrastructure, applications, end-user
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Position Summary: Are you passionate about helping undergraduate students achieve success? Enjoy working collaboratively with others? The University of Dayton is seeking multiple candidates to join
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: - Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. - 12+ years of professional experience - Successful experience with modern software languages such as one
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• Ability to work independently • Strong attention to detail • Ability to effectively manage multiple tasks simultaneously • Strong time management skills • Strong written and oral communication skills
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, Computer Engineering, or Computer Science 2. Successful professional experience programming in Python 3. Knowledge of data structures 4. Experience with Natural Language Processing (NLP) techniques such as