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and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub, containers is recommended. Familiarity with cloud technologies, databases and Pangeo ecosystems is a bonus. The Term
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. Preferred Qualifications Experience with: C/C++, Python, MATLAB, ROS 1 and 2, OpenCV, Unity, GPU programming, linear and nonlinear control theory, supervised, unsupervised and reinforcement learning, Torch
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Operations, Laboratory Techniques, Linux, MATLAB, MRI Analysis, Oral Communications, PET/CT, Python (Programming Language), Researching, Results Reporting, Scientific Writing, Statistical Analysis, Unix
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applications. • Strong programming skills (e.g., Python ) • Strong machine learning skills applicable to manufacturing processes Preferred Qualifications • Ability to perform experiments and data analysis
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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++/Python/CUDA programming for real-time image processing. Experience in MRI pulse sequence programming, ideally on Siemens MRI platforms. Experience in MRI image reconstruction; motion and distortion
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and coding languages beyond R (e.g., Python) are desirable. The candidate should also have a demonstrated publication record in relevant fields and excellent communication and collaboration skills
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spatial transcriptomic data using R or Python; interprets findings in the context of transplant immunobiology. Establishes new research protocols and procedures: Develops and optimizes protocols