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Field
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for data acquisition and analysis (e.g., MATLAB, Python, Prism/GraphPad, EEG scoring software). Strong organizational, written, and oral communication skills. Ability to work independently and
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will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following languages: Python, Julia, or C . A strong interest
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geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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record of research and publications related to the job descriptionStrong scientific writing and communication skillsExperience with Robot Operating System (ROS)Excellent programming skills (Python is
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is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming languages is preferred. Experience handling large next-gen sequence datasets is preferred. A
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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. Experience with R or Python. Experience with ML and AI. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 23093 Apply now
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(e.g., R, Python, C/C++) Excellent communication and writing skills Interested candidates are invited to complete the online application and email your CV and cover letter to Dr. Sapkota ( yadav.sapkota
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for scientific presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and