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Field
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statistical methods and programming languages such as R, Python, or similar. Experience: Previous experience with large-scale genetic datasets and exposure data. Research Experience: A strong publication record
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Quantitative Systems Pharmacology (QSP), would be highly preferable. Knowledge of neural-ODE or Universal Differential Equations is a plus Proficiency in Python or Julia (Python preferred) & modern ML tools
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the future of C5ISR systems. Responsibilities Implement and harden agent/runtime services (Python + C++/Rust), data models, and APIs (gRPC/REST); package for edge compute deployments. Build and maintain
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Python – information provided in the CV and/or motivation letter; c) Processing and visualization of large files (NetCDF) – information provided in the CV and/or motivation letter. Contracting requirements
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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools
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optimization. Practical experience with industrial or collaborative robotic arms (e.g., UR, KUKA, ABB). Proficiency in programming languages such as Python, C++, and ROS. Experience working on interdisciplinary
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. Proficiency in at least one of Python, C++, Fortran, or Julia. Ability to work effectively in an interdisciplinary team. Demonstrated written and oral communication of candidate-led results Desired
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area. Required Experience Analysis of particle physics data sets Expert knowledge of C++ Expert knowledge of Python Effective communication skills, both oral and written. Additional Qualifications
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in one or more of: Python, C++, Fortran, Julia. Hands-on experience building and training AI models with frameworks such as TensorFlow or PyTorch. Ability to succeed in an interdisciplinary team and
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terms of publications Proficiency in scientific computation in C/C++ and Matlab/Python or similar languages Good communication and writing skills The College of Science seeks a diverse and inclusive