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algorithms that are robust to prediction errors, while still performing well when the prediction is accurate. Where to apply E-mail job-ref-o6ncfux8o1@emploi.beetween.com Requirements Research
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of new algorithms based on statistical analysis for the detection of bursts in water distribution
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 22 hours ago
Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming
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analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical
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screening algorithms, is meritorious For complete eligibility requirements for a position as a PostDoc at Jönköping University, see the applicable parts of the Regulations for the employment of teachers
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information about the network: https://euraxess.ec.europa.eu/jobs/401249 1. Context and Challenges Title: Physics-Informed Neural Operators (PINO) for Ultra-Fast Tomography: Toward Fundamental and Generalizable
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14 Jan 2026 Job Information Organisation/Company INRAE Department MathNum Research Field Computer science » Other Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Positions
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signal processing and machine learning algorithms, have strong interpersonal skills and the ability to work in an international team. Experience in wireless communication and networking fundamentals is a
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include the development and implementation of control algorithms on FPGA platforms, experimental testing using Hardware-in-the-Loop (HIL) setups, data analysis, and preparation of scientific publications
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contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research