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Microelectronics teams, the PhD student will be supervised and helped. He/She will access, after training, the IEMN technological platforms. He/She will be provided the tools and computer accesses necessary
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biology and neurosciences. IGF hosts around 250 researchers (including staff scientists, engineers, technicians, post-docs and PhD students), organised in 24 research teams and 5 technological facilities
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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
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, around a hundred PhD students and almost as many other staff such as master's students, post-docs and visiting professors, G2Elab is a major player in these fields at national and international level, at
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meetings and conferences. Proficiency in office and collaborative work tools; knowledge of computer graphics would be an asset. Soft skills Ability to integrate harmoniously into a multidisciplinary team and
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 22 days ago
the continuum from virology and immunology to spatial and molecular epidemiology, computer sciences, as well as social and behavioural sciences. Irrespective of their background, all doctoral candidates from
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machine learning with the logical reasoning and semantic understanding of symbolic AI (often referred to as material and design informatics) is being developed for the accelerated discovery and development
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into **influence functions**, theoretical tools designed to quantify the impact of a sample on a machine learning model. These functions, defined through the derivative of model parameters or the loss function with
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parameters to identify regimes that ensure both flame stability and low pollutant emissions. Machine learning techniques have recently shown promise for Design of Experiments (DoE) and interpretation of large
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experimental data (from ex-situ and in-situ measurement). Therefore, she/he will develop a way to optimize/guide the experiments trough artificial intelligence approach (machine/deep learning) that he will