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practices in different research communities; Teach lessons and workshops such as data processing and analysis using R or Python, tools and best practices for data management, computational best practices
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discovery as quantum sensors, e.g. for low-frequency gravitational wave detection or for dark matter searches. However, thus far optical clocks have used the same basic modality since the first atomic clocks
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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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-meditation, motivational interviewing, meta-cognitive coaching, and multi-modal interventions). The applicants should have the relevant methodological expertise to investigate individual differences
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-resolved micro and nano CT data. Develop and apply numerical implementations in simulation studies as well as to large experimental micro and nano CT data. Explore multi-modality reconstruction techniques
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analysis methods, including quantitative structural analysis, network-based functional analysis, voxelwise cross-modality analyses, graph theoretic approaches, and machine-learning based applications
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Science, and Harsh Parikh, PhD, incoming Assistant Professor in the Department of Biostatistics, with a focus on the analysis of electronic health records and real-world healthcare data. There may also be
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. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in multidisciplinary collaborations. Compensation: Brookhaven Laboratory is committed to providing fair, equitable and
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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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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity