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effects on the performance of an integrated circuit (IC). 2. Identification of aging and/or performance signatures that can be extracted using non-invasive and non-destructive methods, such as imaging
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method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international
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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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for a duration of six years. NumPEx contributes to the design and the development of numerical methods, software components and tools that support future productive European exascale and post-exascale
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strategies. It specifically aims to develop, explore, and evaluate new statistical analysis and diagnostic methods using different data sources to improve estimates of population size, temporal trends in
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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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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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Discovery”, with a strong scientific and environmental ambition: developing lower-footprint AI methods for real inverse problems in nondestructive evaluation. The topic has already passed the first ENACT
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manual gestures). The SyncoGest project (2025–2030) is an interdisciplinary project conducted jointly by computer scientists (Loria – University of Lorraine / Inria / CNRS), linguists (Praxiling – Paul
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cover will be constrained using Raman spectroscopy of carbonaceous material (RSCM method), complemented by bottom-hole temperatures (BHT) and heat flow data to define present-day thermal gradients