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) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and
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science, or a Ph.D. with a computational profile (computer science, engineering, applied mathematics, or natural science) and active experience with interdisciplinary collaborations with the previous fields
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
. Qualifications Required: • Ph.D. (obtained or expected) in a quantitative or biomedical discipline. Examples of quantitative disciplines: Computer Science, Physics, Applied Mathematics, Statistics, Computational
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related field: Computer Science Statistics / Biostatistics Applied Mathematics Data Science ● Demonstrated expertise in modern machine learning, including at least one of the following: Spatiotemporal
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
hydroacoustics, bioinformatics and/or image analysis (ZooScan, UVP) Excellent analytical skills, including statistical modelling, mathematical modelling and network analysis Proficiency in coding (R, Python
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events (e.g., talks, workshops, visitor programs, etc.) as needed and as relevant to the research agenda. Minimum Qualifications A Ph.D. in Physics, Astronomy, Astrophysics, Applied Mathematics, or a
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data processing, or multimodal learning Strong mathematical and statistical background, combined with excellent analytical and problem-solving skills Interest in developing AI methods at the interface
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Position Description Postdoctoral Scholar - 106045 Division: AM-Applied Mathematics and Computational Research Berkeley Lab’s Center for Advanced Mathematics for Energy Research Applications
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Engineering, Electrical Engineering, Computer Science and Engineering, Neuroscience, Applied Mathematics, or another closely related engineering or quantitative discipline is required. Certification and
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Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also