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. ROLE The Scientific Software Developers applied to Machine Learning report to the ASC and GOCO Directors and are responsible for supporting the ASC and GOCO Division in the design, development, and
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, scalability, interpretability, and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully
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motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together
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Research Project: Implementation of Machine Learning techniques to optimize laser-plasma accelerators experimentally and numerically for industrial and medical applications. Since the first
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 12 days ago
: Geophysics), we are looking for a: Reference Number 9366 You will be working on the MIPT project: Ionospheric and plasmaspheric dynamics from observations, machine learning and physics-based modeling Our
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Machine Learning Research Scientist SHRS-Health Information Management - Pennsylvania-Pittsburgh - (24003765) The Machine Learning Research Scientist will work closely with health informatics
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research across Cambridge. Machine learning is increasingly at the heart of leveraging enormous and complex astronomical data sets to solve major scientific challenges in our understanding of the Universe
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of Engineering Position Headcount 3 Position Title Summer Engineering Academy Student Employee - Machine Learning Academic Year Summer 2024 Term or Semester Summer Is this Role for an Undergrad or Grad Student
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17 May 2024 Job Information Organisation/Company Università di Pisa - Dipartimento di Ingegneria dell'Informazione Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application...
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate