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are not limited to): Machine learning and artificial intelligence applied to astronomical data Advanced statistical and probabilistic inference methods Scalable algorithms for the analysis of large
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Algorithmic Categorization”, 2024.07707.IACDC supported by measure “RE-C05-i08.m04 – “Support the launch of a program of R&D projects aimed at the development and implementation of advanced cybersecurity
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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Language Models (LLMs) Computer Vision and Multimodal Intelligence Natural Language Processing Machine Learning Theory and Algorithms Reinforcement Learning and Decision Intelligence Generative AI and
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 2 months ago
. Test model predictions in behavioral experiments. Investigate how principles of biological adaptability can inform the design of efficient and robust learning algorithms for artificial systems
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aspects of theoretical chemistry. They will develop new approaches and algorithms for quantum chemistry and molecular dynamics, drawing inspiration from the opportunities offered by advances in quantum
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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haptic guidance methods that respond to operator skill levels. Identify trajectory features that characterise expert performance for training robots. Develop algorithms that allow robots to refine
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record of analysis, interpretation and presentation of –omic related datasets, which can additionally include algorithm, pipeline, or database development. The ideal candidate will have developed a method
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analysis of data from a Laboratory Information Management System. Key responsibilities will include: Core Scientific Contribute to the coding and development of custom data analysis algorithms and modelling