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image processing, data processing methods using Python, Java, and Matlab. Familiarity with radiation dose transport software, such as Varian Eclipse or (GEANT4) Monte Carlo packages. Preferred
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processes, optimization, or machine learning, depending on project needs. Writing clean, well-documented code (e.g., in Python, R, MATLAB, or similar languages) to simulate and analyze models. Validating
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pertains to nuclear fuel cycle. Demonstrated experience in Python, MATLAB, R, or similar. Demonstrated experience with applying techniques to introduce uncertainty quantification to machine learning
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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, computational neuroscience, or a related field Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++ Demonstrated experience in statistical analysis and/or machine learning
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, MATLAB, or Julia is essential. The ideal candidate will have a demonstrable track record of intellectual curiosity, scientific integrity, excellent interpersonal skills, and future leadership potential
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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science Python packages including numpy, pandas, and scikit-learn. Proficiency using relevant tools (Python, R, MATLAB, SQL Server, MySQL) Willingness to learn and quickly adjust to new tools and systems
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. Processing and analysing imaging datasets using custom scripts in MATLAB and/or Python. Integrating imaging with complementary techniques, such as electrophysiology, optogenetic stimulation, or behavioural