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using Landsat, Sentinel, and PlanetScope datasets for remote sensing applications; possess advanced computational skills, including data visualization and proficiency in Python, R, or MATLAB; have
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methylation, chromatin accessibility), and clinical data. · Develop, apply, and benchmark machine learning and statistical models for subtype discovery, classification, and outcome prediction. · Contribute
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analytical and modeling skills, including data science, database management, data visualization, etc. Strong publication record Experience working on subjects related to one or more of three main research
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, interactively and in close proximity, such that the robotic actions are controlled both by (i) commands and queries, often at higher-levels of abstraction, that humans would issue naturally in untethered, field
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Requisition Id 15907 Overview: The Radiation Effects and Microstructural Analysis Group (REMAG) within the Materials Science and Technology Division at Oak Ridge National Laboratory (ORNL) is
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for dynamics imaging. The primary goal of this project is to develop single-frame ptychography methods that eliminate the need for scanning, enabling fast imaging and the visualization of dynamic processes in
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from approaches from the social sciences, literary studies, visual art, and philosophy to address key questions in health research. The Institute currently hosts the Wellcome-funded Discovery Research
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technologies to evaluate the effectiveness of conservation strategies and prioritize future conservation efforts. The successful candidate will work with SNRE faculty, science and conservation staff of TNC in
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quantitative models. Interprets the data and explain the results in research discussion. Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets Data
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effectively in an interdisciplinary team. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Interpersonal skills, oral and written communication skills, and ability