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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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Learning in a broad sense. Particular areas of interest include, but are not limited to, development and analysis of machine learning models for scientific computing, theory and algorithms for sampling
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between biological and artificial intelligence, and/or use statistical ML algorithms and modern AI to solve fundamental problems in basic neuroscience and/or neuroscience-related healthcare. Other areas
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with C++. Demonstrated experience with Python. Thorough understanding of object-oriented programming concepts, data structures/design patterns/algorithm performance analysis. Understanding
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Demonstrated experience with software requirements and specifications Hands-on experience with image processing or computer vision algorithms and tools Excellent written and verbal communication skills Proven
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through advances in statistical and mathematical AI and ML theory and algorithms. Examples of topics of interest include: statistically-principled methods for uncertainty quantification; operator learning
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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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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and/or Texas, which may require being away from Austin, TX for one to a few weeks across multiple trips and may require camping. Fieldwork would require some driving and a valid driver’s license. The