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Field
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radiochemistry, computational chemistry, and/or nuclear materials science. Preferred Qualifications Depending on the project, experience with Python, machine learning techniques, and any of the following tools is
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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programming skills, Python frameworks for ML and real-time audio software • Curating audio datasets, spatial-audio/audio-visual recordings, and ML training/evaluation pipelines • Experimental systems
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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in psychiatric genetics, biostatistics, statistics or related field Proficient in using R, Python
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 8 hours ago
., Python, g-code) Data analysis Statistical analyses How to create reports Mentor: The mentor for this opportunity is Prasanna Hariharan (Prasanna.Hariharan@fda.hhs.gov ). If you have questions about the
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statistics. Software frameworks: Excellent programming skills in Python, R or similar, with experience in frameworks such as PyTorch, TensorFlow, JAX, etc. HPC & Big Data: Proficiency in high-performance
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complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control
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in research methods or data analysis Proficiency with data analytic programs (e.g., Stata, SPSS, AMOS, SAS, R/Python, etc.) Experience translating and disseminating research findings to broader
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reporting standards * Familiarity with deep learning technologies (e.g., CNNs, transformers) * Experience with Python and ML ecosystem skills (e.g., PyTorch, scikit-learn, etc.). * Skilled in writing and able
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communication skills with the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python