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Field
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using machine learning and deep learning techniques to generate indicators that allow remote monitoring of restoration. Knowledge of remote sensing (e.g. GEDI, LiDAR, multispectral) and programming (e.g
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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encouraged to apply: Biologists with mathematical, computational, or programming experience. Prior experience with mouse models, motivated to learn new techniques including advanced optical imaging
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/Credentials/Licenses A PhD degree in Chemistry, Physics, Chemical Engineering, Materials Science, or related Disciplines. Computer Skills Basic computer skills, including proficiency in MS Word and PowerPoint
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data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms Assist with organizing large scale multimodal neuroimaging datasets, brain
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. Sensing, Machine vision, image processing and data fusion. Inline manufacturing process monitoring and control. Major Duties/Responsibilities: Develop foundation AI models under various projects. Develop
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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work closely with CFN Electron Microscopy group members and computer scientists at Brookhaven. You will be professionally mentored by Dr. Judith Yang and Dr. Sooyeon Hwang and receive guidance from Prof
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, methods and applications of machine learning and deep learning. Experience with frameworks and libraries for deep learning (e.g., PyTorch). Experience with models and libraries in computer vision, for image
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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and