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Field
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for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools (e.g., PyTorch/TensorFlow, rasterio/GDAL). Ability to work independently and produce reproducible
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of building secure, reproducible workflows that make this process seamless for researchers and clinicians. You’ll also have a flair for coding in python and/or Laravel, problem-solving, with experience in web
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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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analyzing numerical methods and/or machine learning methods for scientific computing. A strong computational background and experience with languages and frameworks such as Matlab, Python, NumPy/SciPy
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processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ) Proven publication track record would be an advantage We regret that only shortlisted candidates will be notified. Hiring
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/Robotics or a closely related discipline. You will have an extensive background in coding (e.g., python, C++) and have some works published in top-tier conferences/journals. Candidate must have prior work
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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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five years. 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
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, or a related numerical field. Programming experience in one or more of: Python, C++, Fortran, Julia. Hands-on experience building and training AI models with frameworks such as TensorFlow or PyTorch
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positively to a diverse academic community. DESIRED CHARACTERISTICS Proficiency in at least one programming language (e.g., Python, C#, or Ruby) and platforms commonly used in digital forensics and backend