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Field
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and oral formats Author peer-reviewed publications, and Work effectively in a large, multidisciplinary team of engineers and chemists . Basic Qualifications Must be a recent PhD graduate within the last
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Qualification requirements PhD or equivalent academic qualifications with a specialization in computational musicology, computer/data science, informatics, sound and music computing, or other related field
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis or machine learning, proficiency in deep learning techniques (CNN, VIT
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. Strong skills in geospatial analysis. Strong skills in image analysis and machine learning. Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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machine learning models. Working with extremely large, multi-modal datasets. Prior experience in analysis of clinical health records, and time series data are highly preferred. Qualifications Requirements
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techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne