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Field
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). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness
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. Understanding of navigation framework and path optimization algorithms. 4. Proven track record of peer-reviewed publications. Appointed candidates will support research planning and execution, including
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deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will
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software development, cloud computing, data engineering, algorithm design, or scalable computational workflows is a strong plus. Excellent written and verbal communication skills, with the ability to work
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models, and efficient algorithms for large-scale genomic data analysis. This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability
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. Formulate detailed R&D experimental plans and carry out system setup, signal acquisition and processing, as well as algorithm design, implementation, and optimization. Assist the team in the establishment
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. They will consider the use of cutting-edge deep learning algorithms for object detection and tracking, anomaly detection and other generalized data understanding tasks (e.g. behaviour understanding and/or
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contribute to the design, implementation, and evaluation of algorithms and systems, and will support research experiments, software infrastructure, benchmarking, documentation, and project coordination
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1 Aug 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique théorique et hautes énergies Research Field Computer science Mathematics » Algorithms Researcher Profile