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of the POSITION The project will focus on the use of borehole nuclear magnetic resonance to image and monitor the redistribution of water content in the vadose zone as a basis for modeling unsaturated flow in
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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post-doctoral research associate position in machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse
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analysis, prototyping, machine learning, or entrepreneurship is a plus. We focus on developing optical neuroimaging technology to study and treat brain diseases. We are devoted to applying novel neuroimaging
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) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning-based machine learning and natural language processing. Strong research experience (e.g. evidenced
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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-based machine learning and natural language processing. Strong research experience (e.g., evidenced by publication record). Excellent programming and computer science skills. Security clearance
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) at the Technical University of Munich (TUM) is looking for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and built their early