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disease modeling and intervention studies, medical image processing, metabolomics data analysis, survival analysis, causal inference, statistical methods of health surveys, high-dimensional inference
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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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research methodology and grant development processes. Ability to work effectively both independently and as part of collaborative research teams. Excellent organizational and communication skills for program
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, data science, robotics, biophysics, computer vision, advanced imaging, multi-omics, chemical biology, and synthetic biology. We invite applications from innovators developing transformative technologies
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modeling and intervention studies, medical image processing, metabolomics data analysis, survival analysis, causal inference, statistical methods of health surveys, high-dimensional inference, longitudinal
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Classification Title: Assistant/Associate/Full Professor Classification Minimum Requirements: a Ph.D. in computer science or related field Expertise in AI/ML, deep learning Expert proficiency in
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, data science, robotics, biophysics, computer vision, advanced imaging, multi-omics, chemical biology, and synthetic biology. We invite applications from innovators developing transformative technologies
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computer science or engineering with experience with agricultural systems • Experience handling data from private farms; proficiency with statistical software and programming, GIS/remote sensing, drone imagery
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molecular biology, biochemistry, and/or RNA biology techniques • Experience with immunohistochemistry, immunofluorescence assays, RNA imaging assays and experience with image acquisition (fluorescence
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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