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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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. Strong publication record in the area of computer networked systems. Proficiency in both theory and practice of Computer Science including software development skills in programming languages such Java, C
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, Python, R, Java, or other scientific programming languages. Experience working with life cycle assessment tools such as GREET®, OpenLCA, SimaPro®, GaBi®, or similar. Skilled oral and written communication
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generative design tools such as HEEDS, and/or the Dakota or RAVEN uncertainty quantification tools. Experience with FORTRAN, C, and/or C++ applied programming. Knowledge of Python, Java, or other scripting
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Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong...
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Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong...
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feature extraction. Experience in Python programming is required. Additional experience with C++, JAVA, R is a plus Candidates with skills in computer vision, medical image analysis, foundation models
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and written communication skills. The ability to work in a dynamic, interdisciplinary team. Programming expertise in Java, C++, Python, or R. Experiences with large databases and data manipulation tools
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skills Excellent managerial skills Certificates/Credentials/Licenses n/a Computer Skills Proficiency in at least one scripting tool such as Python or R and Java Experience using GitHub for versioning and
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other major funding sources. Required qualifications A Ph.D. in bioinformatics, computer science, computer engineering or statistics, and excellent programming skills (R, Java, web programming