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collaboratively within an interdisciplinary research environment. Desirable experience with advanced AI or machine-learning methods beyond standard predictive modelling prior exposure to qualitative or mixed
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work on adapting or developing marine foundation models. Self-supervised learning and active learning are also possible research topics. You can also focus on challenges related to modelling physics
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) are required - Experience in working with Earth system model simulations is required - Experience in machine learning is required - Willingness to travel for work (project meetings, workshops, and research
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, geospatial data, machine learning, or climate or hazard modeling is desired. Salary In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is hourly rate of $30, depending
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Brest, Bretagne | France | 3 days ago
ecosystems under natural and anthropogenic pressures. In this field, the unit carries out research and provides expert analysis aimed at understanding, modelling and predicting the spatial and temporal
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and experience. Willingness to learn and perform bioinformatics analyses of high-throughput sequencing data. Excellent interpersonal, writing, and verbal communication skills. Ability to interface
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and non-traditional technology providers. As national security priorities, acquisition models, and innovation cycles evolve, SEI must continue to adapt its posture, pace, and external engagement while
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silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
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highly collaborative research team to accelerate and extend ongoing research efforts (including DL-based joint species distribution modeling and causal machine learning) and lead methods development