107 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" positions at University of Texas at Austin
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Job Posting Title: Acoustic Signal Processing Algorithm Design & Data Analysis Engineering Scientist Associate ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All
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Job Posting Title: CARE Coordinator for School of Civic Leadership / iSchool (LPC, LCSW, PhD) ---- Hiring Department: Healthyhorns - Counseling and Mental Health Center ---- Position Open To: All
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deadlines Required Materials CV Letter of Interest Research Statement Names and contact information for 3 references Qualifications Required Qualifications PhD in seismology/geophysics or closely related
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a motivated individual to support research and development tasks relating to algorithm development and data analytics requiring a background in the geosciences and data sciences. This includes tasks
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machine learning algorithms for application to sonar and underwater acoustics, as well as the accompanying data analysis to effectively characterize their performance in the Advanced Technology Laboratory
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, such as algorithms, web applications, cybersecurity, and topics related to artificial intelligence, computer systems, and UI/UX. We have opportunities to teach classes dedicated to CS majors as
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software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL). Responsibilities
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existing algorithms and design improved methodologies for clinical applications. Purpose To support research in AI for healthcare and drug discovery by conducting data-driven experiments and developing
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this initiative will contribute to shaping the future of education by addressing pressing questions around AI-driven personalization, data privacy, algorithmic bias, and educators' utilization of generative AI
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/design patterns/algorithm performance analysis. Thorough understanding of the software development lifecycle, testing methodologies, and utilizing common application debugging and performance profiling