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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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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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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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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
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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will
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modeling and/or machine learning: keep accurate records of experiments and results perform data interpretation/summarization including writing custom code and application of analysis algorithms communicate
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and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a variety of statistical and
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technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and human data, and a new emphasis on the importance