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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
) for a collaborative project with a starting date of April 1, 2020. The candidate will be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc Position in Neuro-morphic Reinforcement Learning
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part of a world leading research environment and contribute to the development for the next generation machine learning tools for power systems. One Postdoc will be involved in the newly funded project
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models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a
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responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational
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new generation of embedded intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. The Postdoc positions are part
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(e.g. sparse-view and/or high-noise) data. Develop and validate numerical implementations on simulated and real CT data. Explore and compare supervised and self-supervised machine learning/AI-based
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here: https://horizon-ahead.eu/ As a Postdoc, you will: Quantify the flexibility potential of public and private EV charging hubs, including light- and heavy-duty vehicles. Investigate synergies
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perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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within a research team Record of peer-reviewed publications or manuscripts in preparation Preferred Qualifications Experience with machine learning and deep learning Ability to analyze and interpret