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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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modeling, 4D imaging radars, distributed sensing, and tracking. SPARC has also collaborated with long-term industry partners such as IEE S.A (www.iee.lu ), University of Naples Federico II, US Air Force
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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and
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text or images. Events arrive at irregular intervals, values are continuous, and what gets measured depends on clinical decisions that vary between hospitals, physicians, and patient states. As a result
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to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the development of innovative
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perform functional readouts such as calcium imaging and electrophysiology. Where to apply Website https://www.academictransfer.com/en/jobs/356705/phd-researcher-development-of-h… Requirements Specific
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these biases could be transmitted from one person to another. You will also support brain imaging experiments (i.e., fMRI studies) in collaboration with a postdoc on the project, understanding how these biases
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deployment (follow-up assessment) of the prototype, ensuring methodological consistency and data quality. f) Data management, including coding, cleaning, preparation of databases, and ensuring good practices