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for Quantum-enhanced, distributed radar signal processing techniques that maximise target Signal-to-Noise Ratio (SNR). The algorithms we will derive will be applied and tested in the context of target detection
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 minutes ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
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problem-solving skills; Ability to work independently in a dynamic environment with changing priorities; Some familiarity with scripting (Python or similar) and interest in algorithmic approaches; Strong
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of science data from the IXPE mission (including algorithms, development of simulation and analysis tools, and interpretation of the results), particularly for the study of extended X-ray sources (supernova
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will focus on models and algorithms for the intelligent control of bidirectional energy flows, the integration of vehicles into microgrids and smart grids, and the provision of ancillary services such as
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for the group of subjects related to the data structures and algorithms at the Department of Theoretical and Applied Foundations of Information Sciences Where to apply E-mail natjecaji@foi.unizg.hr Requirements
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experts. You will design imaging sequences and develop beamforming and signal processing algorithms to achieve ultrafast frame rates and detailed visualization of cerebral vasculature. You will work closely
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reference features for machine learning (AI) algorithms. The successful candidate will work as part of a multidisciplinary team of archaeozoologists and mathematicians. The mission will be based at the CEPAM
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project is guaranteed to be feasible and with high impact, guided by a supervisory team with an extensive A+ publication record in algorithms and graph mining. Where to apply Website https://pica.cineca.it
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
exact and/or heuristic algorithms to handle the complexity of these models. The proposed approaches will integrate the planning of different types of healthcare professionals (e.g., doctors and nurses