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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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mathematical models using a reasonable number of physical variables; (2) the observations of extreme weather events used in the learning bases of DNNs are much rarer than those of standard events. This induces a
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or Phonetics Basic knowledge of machine learning tools; familiarity with a scripting language Ability to communicate and coordinate with different partners: field linguists, computer scientists, engineers
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learning. Work carried out during the Master's internship has already identified strong trends and tested statistical and machine learning approaches. The thesis will aim to consolidate and update
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, Bash, R/Julia, C++, or similar) and in modelling natural systems, as well as a strong motivation to learn new programming languages relevant to this field. - A solid understanding of the concepts
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draw upon the experience acquired by other individuals to complement its own, which allows it to save learning time and avoid the risk of harmful consequences from inappropriate behaviour. It is crucial
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forces on each mode in order to reduce (i.e., cool) their individual vibrations. The student will be closely guided by the advisor and will acquire both theoretical and experimental skills on optomechanics