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, and registry-linked outcome data. In this project, you will develop and apply AI-based methods (e.g. machine learning methods and many other methods) to harmonize historical and current pathogen
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meters. These instruments produce large amounts of data that require several processing steps before the relevant physical variables are obtained. Typically, machine learning methods are used to optimize
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of ion conductivity in complex battery materials on a large scale. Model‑generated data will be used to identify key relationships between material structure and ionic conductivity through advanced data
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of time spent looking at computer monitors could lead to some eye strain, stress, or headache issues. Operation of standard office equipment including copier and fax machine. Repetitive stress injuries
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-based methods, to extract meaningful insights from multi-modal cancer imaging data across PET, MRI, and Photon-Counting CT. You will develop strategies to analyse large datasets of 3D images to aid in
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their PhD. Project description The aim of this project is to deepen the fundamental understanding of machine learning through the lens of optimal transport theory, systems theory, and statistical physics
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of Cambridge), and Villa lab (UC San Diego/HHMI). You will develop machine learning methods for particle detection, localization, and structural analysis in cryoET data, with two interconnected aims: (1
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MICADO (the first light instrument of the Extremely Large Telescope). The project provides a collaborative network, engaging with leading experts in optics, astrophysics, and machine learning from
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 15 days ago
numerical models applied to patient-specific cardiac geometries. • Application of machine learning and artificial intelligence techniques to improve data processing and the integration of multimodal
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) (required) - Quantum libraries (Cirq, Qiskit, Tensorflow Quantum. QuTiP) (recommended) Theory: - Machine Learning, Deep Learning, Reinforcement Learning, Data Science (required) - Quantum Computing, Quantum