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interpret multimodal research data. Utilize programming and data analysis tools such as MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods
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research. Analyze and Interpret Data Process, interpret, and visualize scientific data using tools such as R, Python, MATLAB, or similar analytical platforms. Create publication-quality figures, summaries
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, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience working in a cloud environment such as Microsoft Azure. Experience in writing grant proposals
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research. Experience analyzing large secondary datasets, claims data, registry data, EHR data, or other real-world data sources. Proficiency in R, SAS, Python, Stata, or similar analytic software
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electrophysiological recording methods, including patch-clamp techniques. Programming and data analysis experience using MATLAB, Python, or similar platforms. Record of peer-reviewed scientific publications. Other
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electrophysiological recording methods, including patch-clamp techniques. Programming and data analysis experience using MATLAB, Python, or similar platforms. Record of peer-reviewed scientific publications. Other
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machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong scientific communication skills and the ability to work productively with experimental and computational
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sequencing Spatial transcriptomics Multiplex imaging Bioinformatics R or Python programming Tissue culture techniques Animal models Interest in translational cancer research, immunotherapy, and neuro
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Science, Electrical Engineering, Medical Physics, Imaging Sciences, or a related field. Demonstrated experience with Python and C++ software development. Experience managing software development
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image analysis, machine learning or deep learning, python and/or MATLAB, scientific computing and numerical methods. Experience with computing, PyTorch, spectral CT, photon-counting detectors, or