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Field
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/DEBtox, SSD, IBM, PBPK, or related quantitative approaches. Strong quantitative and programming skills (R and/or Python). Experience integrating large monitoring datasets and conducting statistical
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 15 days ago
, R, Python Must be able to work in a team environment and interact with diverse stakeholders Strong communication skills (both written and verbal), including strong listening skills Strong
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image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with
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closely related field. Fluency in English (written and spoken). Proficiency in quantitative data analysis (e.g., R, Python, SPSS, or equivalent). Track record of publications in peer-reviewed journals
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Experience with volumetric image data Excellent programming skills (e.g., Python, C++, MATLAB) and familiarity with scientific libraries (ITK/SimpleITK, VTK, TensorFlow/PyTorch, etc.) Ability to work
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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experience in bioinformatics (UNIX environments, R/Python, etc.) Desirable but not required/ Nice to have · Experience working with Nextflow pipelines Education and training · A PhD in Biology (or
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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in research software development using R or Python and a track record of contributing to publications and presentations in leading statistics or machine learning journals and conferences are essential