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Field
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solutions that assist in storage, investigation and dissemination of large data sets. Works with research team to develop new algorithms to support studies. Assists with reporting of methods, data and results
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project aims to develop a
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to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and identification algorithms that directly interface with physical hardware. We work closely with
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics
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psychological experiments, developing novel mathematics, inventing new algorithms, and making new philosophical arguments. Publish and share this research with the wider academic community. Help organize, once
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to continuous improvement and professional development, and to collaborate with personnel/departments across the University to facilitate student success.Salary Range: $45,000-62,000(Please note that the range
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 2 days ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and
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Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network
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, this role will contribute the development of networks coordinated sensing and communication solutions and the proof of concepts for next-generation wireless communication, collaborating with other team
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candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation & continual learning, agentic