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experiments (experimental economics, preference method, discrete choice method, surveys, etc.), with associated academic publications ? You are familiar with putting forward proposals to help build up
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-scale datasets and advanced modelling approaches, to study patterns of multifaceted climate extremes. A strong focus will be on the combination of available data, methods, and tools from the climate
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the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its
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or microtubules. On the other hand, we have designed physics-inspired data-driven methods aiming at estimating suitable prior regularization models via Plug&Play denoisers [SMCBF23] and/or Wasserstein GANs as
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., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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at all levels; offer vital services to scientists in the public and private sectors within the member states; develop new instruments and methods; and engage actively in technology transfer
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current methods). One of the long-term objectives will be to conduct a similar study on the human genome (20k genes with 300 to 3M base pairs) on the Exascale machine soon to arrive at CEA. PTC funding is
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of quantitative methods for data processing and analysis, optimization, scientific programming and economic analysis, in some of the following areas. The main tasks will be : * Global economic analysis
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between the in-situ data analysis and the numerical simulation. This allows better resource allocations and on-the-fly simulation monitoring. Another aspect that in-situ analysis enables is using AI methods