59 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Texas A&M University
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Texas A&M University, Institute for Quantum Science and Engineering Position ID: TAMU -IQSE -POSTDOC3 [#29960] Position Title: Position Location: College Station, Texas 77843
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position is grant funded; future employment may be contingent upon future funding. Qualifications Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications Experience
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: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data
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results from models. Assists with the application of models. Responsible for creating and sharing periodic reports of experimental observations and results with collaborators and sponsors. Contributes
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required. Qualifications Required Education and Experience: Appropriate PhD in neuroscience, neurophysiology, or a related field. Preferred Qualifications: Expertise in software /data analysis such as
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future funding. Required Education and Experience Appropriate PhD in a related field Preferred Qualifications Willingness to work with large animal models Experience with tissue culture and primary cell
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transformative education, innovative research and team-based health care delivery. What we want This position will work with a research team of several research grants/contracts within the public health field
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information here ! PURPOSE We are seeking a highly motivated researcher with a strong background and interest in machine learning and artificial intelligence. The position focuses on the development and
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) are strongly recommended. You may upload all three on the application under CV/Resume or upon answering the questionnaire you may attach the documents. Qualifications Required Education Appropriate PhD in
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital