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Field
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groups/populations. Preferred Qualifications PREFERRED QUALIFICATIONS: 1. Demonstrated experience with Linux/Unix environment, Python, and PyTorch. 2. Demonstrated experience with programmable network
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Proven expertise in MATLAB, C/C++ and/or Python programming and skills working with Linux and Windows workstations are required. Demonstrated experience with tomographic imaging and reconstruction, machine
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Hydrology, or a related field (received within the last six years). Experience with hydrologic and/or hydraulic modeling. Experience with one or more scripting languages (Python, R, or similar) to create
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conferences and/or journals. Working knowledge of the C/C++ or Python programming language. Working knowledge in binary analysis and code reverse engineering is advantageous. Familiarity with 5G and Wireless
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publications, patents, or software developments. • Strong technical proficiency in AI modeling, computational tools, and programming languages relevant to AI research (e.g., Python, CUDA). Key Competencies
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of microelectronics radiation effects mechanisms is desired, but not required. Experience with instrumentation and programming with Python is a plus. Appointment Type: Twelve-month full-time non-tenure track
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, particularly Python Familiarity with Graph Neural Networks (GNNs). Experience with sensor calibration, fusion techniques, and real-time motion analysis preferred. Ability to work collaboratively in
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/validate algorithms for medical images and perform data analysis using state-of-the-art software programming tools such as Python. They are also expected to write publications, liaise with collaborators
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., Fortran) and for analysis and plotting (e.g., Python, Matlab) · Excellent written and oral communication skills, evidenced by peer-reviewed publications · Past experience and/or strong interest in
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, or a related field Work Experience: 0-3 Years Skills: Strong command of GNU/Linux systems and toolchains, expert level knowledge in R, strong experience in one scripting language like Perl or Python, and