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goals, formulating contact-rich robot manipulation as a planning problem using haptic-based algorithms Coordinate with the extended research team in hands-on experiments for contact-rich manipulation
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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synthetic biology and oncology. We foster a rigorous, fast-paced, and supportive environment that values intellectual curiosity, creativity, and translational impact. The postdoc will lead projects aimed
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carbon sinks dynamically evolve under climate change. The postdoc will work on improving and applying the land surface model CLM (Community Land Model) that is used in the Norwegian Earth System Model
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Queen's University, Laboratory for Extreme Multi-Messenger Astrophysics Position ID: Queen's University -Laboratory for Extreme Multi-Messenger Astrophysics -POSTDOC [#30249] Position Title
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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to the development of innovative and sustainable low carbon plastic waste management and recycling solutions. In this project the post holder will develop novel algorithms and methods for analysis of plastic data
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood biomarkers, and
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Analytics & Explainability development of algorithm and system for the project The School of Computing at the National University of Singapore (NUS) invites applications for a Postdoctoral Research Fellow