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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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cognitive, clinical, genetic, and proteomic data and manages them in the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces
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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 Post-doctoral Position in Machine Learning
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Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal
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: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics
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emerging spectrum (FR3, MMW, sub-THz/THz) Extreme massive MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless
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] Subject Area: Sociology / sociology Appl Deadline: 2025/09/22 11:59PM * (posted 2025/09/15, listed until 2026/03/15) Position Description: Apply Position Description The Department of Sociology at Duke
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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
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, so you should be motivated to work in the lab, eager to learn new techniques, and able to take initiative. You should also be organized and capable of working independently as well as collaboratively
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, artificial intelligence, machine learning, cybernetics or a closely related technical field. Competence in implementation and evaluation of AI systems. Expertise in distributed AI systems, autonomous multi