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, Environmental Informatics, or a closely related field. 3+ years of strong programming experience in Python (including data processing, scripting, or basic ML workflows). Foundational understanding of ML concepts
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the last 5 years Experience in multivariate statistical procedures and basic modelling Data analysis and management programming experience in R or Python GIS experience Excellent written and oral
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, or a related discipline The ability to obtain and maintain a security clearance from the Department of Energy Preferred Qualifications: Experience with programming languages such as python, Fortran
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electronic modeling and simulation platforms including MATLAB/Simulink. Experience in coding platforms such as C, and C++, Python. Experience with Linux for code development and system architecture. Basic
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GeoServer and ArcGIS Enterprise. Manage application deployment workflows utilizing Docker. Design database tables and integrate new datasets into existing database models. Use Python to process large
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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computational modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C++ and Python languages The ability to work flexible hours and
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at least four of: Electronic Health Record (EHR) systems Excel (advanced; pivot tables, power inquiry) JMP Microsoft Access Oracle Database Python R REDCap SAS SPSS SQL STATA AI Tools Communication and
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foundation in machine learning, deep learning, or computer vision Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow Demonstrated research productivity (e.g., peer-reviewed
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: Strong programming skills in languages such as C++, Python, and, preferably, Julia. Proficiency in hardware design using Verilog and High-Level Synthesis (HLS) for ASIC and FPGA platforms. Demonstrated