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and scripting • Experience with medical image (MRI, DWI, CT) processing using open-source programs such as Seg3d, Slicer, ANTS, or similar • Experience DSI Studio, MRTrix, or similar • Experience with
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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
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, Computational Biology, Biomedical Engineering, Data Science, or a related field. Job Description: This Postdoctoral Associate will join the Computational Microscopy Imaging Lab (CMIL), led by Dr. Pinaki Sarder
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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that facilitate basic research and drug development. The unique infrastructure includes the application of unique chemical, genomic, proteomic, informatics, and high-throughput screening and engineering tools