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The Geospatial Data Analytics (GDA) Lab is establishing a specialized research position focused on high-performance computing, artificial intelligence, and computer vision. Unlike traditional engineering research
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computer vision. Unlike traditional engineering research roles, this position functions as a specialized Research Software Architect, bridging the gap between photogrammetry and modern generative AI
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to a wide variety of audiences (staff, students, faculty, etc.). Proficiency using SQL, Python, and MS Excel for data manipulation, visualization, and analysis. Strong ability to analyze complex problems
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at least one of the following programming languages R, Python, or Matla; strong communication and organizational skills; experience in molecular biology; previous experience with field work. Additional
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language (such as R or Python) or data visualization tools (such as Tableau) is a plus. Demonstrated ability to work collaboratively as part of a team. An interest in public health, emergency medicine
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in Computer Science, Data Science, Engineering, Mathematics, or a related field. Basic Linux/UNIX skills Experience in scripting and programming (C/C++, Fortran or Python) Good written and
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-scale datasets (e.g. many Tb) Knowledge of MC generators and detector simulations Strong software skills in e.g. c++ and python for scientific computing Desired Qualifications: Interest in global hyperon
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of relevant experience. Extensive skills in programming in C, C++, Python, DL/ML/AI frameworks, CI/CD tools, version control systems, Linux (kernels, file systems, and drivers). Knowledge of modern computing
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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related field Experience with R and/or Python; familiarity with high-dimensional biological data strongly preferred Strong analytical thinking, curiosity, and ability to work collaboratively in a team-based