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Field
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, or laboratory automation (Python, MATLAB, or LabVIEW). PhD must have been obtained within 3 years from date of hire. Preferred Qualifications Extensive proficiency with commercial compositional reservoir
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experience with solid-state device/materials. Proficiency in data processing software such as Origin, JMP, Mathematica, MATLAB. Good communication skills including oral and written. Strong work ethics
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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optical systems and the use of lasers. Proficiency in data processing software e.g., Python, Matlab. Exhibits excellent professionalism and work ethics, initiative and self-motivation. Strong ability
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experience in scientific programing (using e.g., Python, Matlab, and/or Julia), as well as a strong interest in climate science and biogeochemical cycling. The candidate must have proof of excellence in
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, SPM, etc.). Proficiency with MATLAB and UNIX/Linux programming is preferred. Strong preference will be given to applicants with prior experience with acquiring and analyzing EEG and/or structural and
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tomography, optical imaging or ophthalmoscopy. Programming experience with MATLAB, C++, and/or LabVIEW is desirable. Experience with image analysis software, such as ImageJ is also desired. Previous experience