22 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" research jobs at University of Texas at Austin
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requirements. Demonstrated detail orientation, ability to follow-through, and strong problem-solving skills. Proficiency in Microsoft Excel and Word and willingness to learn other technologies as necessary
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the last three years. Solid experience with AI/machine learning methodologies, particularly those applicable to network optimization. Proven ability in programming and familiarity with network simulation
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, or computational methods Strong organizational skills and ability to manage multiple projects independently Preferred Qualifications Interest and/or experience with large-scale natural language processing, machine
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experience in human cognition, particularly episodic memory or emotional cognition, and/or cognitive aging research Experience in advanced neuroimaging and computational analyses (i.e. machine learning methods
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, dissolved pore water components, nutrients, chlorophyll, TSS, CHN and isotopic analysis, sediment grain size, and algal epiphyte enumeration and identification. Computer data entry, data QA/QC, some basic and
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one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given
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and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets
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experience in the analysis of DNA sequences. Prior experience using R or other programming language(s) (e.g. Matlab, Python, Linux). Basic organizational and computer skills (MS Word, Excel, and PowerPoint
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Colgin and The Center for Learning and Memory are seeking a Research Engineering/ Scientist Assistant to: Provide administrative support to the Center for Learning and Memory Provide technical assistance
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have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI. Proficiency in