747 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Texas at Austin
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of the system Other related functions as assigned Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering or other related discipline. Demonstrated experience
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applications. Demonstrated strong leadership and organizational skills with strong initiative. Strong writing and presentation skills. Relevant education and experience may be substituted as appropriate
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holidays Please visit our Human Resources (HR) website to learn more about the total benefits offered. Purpose We are seeking dedicated individuals to join our team as a Cagewash Attendant, Animal Attendant
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technical mentorship and supervision of junior software engineers. Other related functions as assigned. Required Qualifications Master’s degree in Computer Science, Computer Engineering, Software Engineering
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Engineering, Electrical Engineering or related field. Strong analytical and problem-solving capability. Demonstrated ability programming in the C++ programming language. Thorough understanding of object
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degree in Computer Science, Computer Engineering, Electrical Engineering or other related discipline. At least three years of professional experience developing or testing software in a Linux environment
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. Hands on experience with hand tools, power tools, machining (mill, lathe, laser cutter, etc.). Prior work experience in professional or research oriented development. Prior military experience
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. Advanced proficiency with Computer Aided Design (CAD) software (e.g, Creo, Solidworks) and Finite Element Analysis (FEA) software packages (e.g., ANSYS, COMSOL) for the design and structural/modal analysis
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radiochemistry, computational chemistry, and/or nuclear materials science. Preferred Qualifications Depending on the project, experience with Python, machine learning techniques, and any of the following tools is
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, including survival analysis, time-series techniques, causal inference approaches, and/or machine learning methods to large healthcare datasets. Prior experience mentoring or supervising graduate students