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(2025 – 2027), where he/she will undergo graduate training under the Structured Ph.D. in Humanities and Social Sciences program in addition to DECADOCS network training. In this period, he/she will
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. The net salary depends on specific Country National taxation and social security contribution. Eligibility criteria Candidates must fulfil the following minimum eligibility criteria: They do not hold a Ph.D
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are eligible also of 660 €/month family supplement, if applicable. The net salary depends on specific Country National taxation and social security contribution. Eligibility criteria Candidates must fulfil
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-Saclay – CNRS (France): Gross salary is 4.557 €/month. Candidates are eligible also of 660 €/month family supplement, if applicable. The net salary depends on specific Country National taxation and social
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global anthropogenic CO2 emissions. Decarbonizing the cement industry to achieve net-zero is particularly challenging because a significant fraction of CO2 emissions stems from the intrinsic chemical
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 12 days ago
, 3], significant challenges related to running complex AI algorithms such as Deep Neural Network (DNN) inference on lightweight platforms with limited computational power and relying on potentially
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. This issue can have safety implications, particularly in closed-loop setups. Physically Informed Machine Learning (PIML), and in particular Physics-Informed Neural Networks (PINN), are less dependent on data
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must hold a relevant master's degree or equivalent and must have obtained the degree or equivalent by the DC start date In order to be recruited to the network as a doctoral candidate, applicants must
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Networks in order to handle non-linear relationships between covariates and response variables. To this aim, the PhD student will join a consortium of researchers issued from different disciplines with a
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approaches that build processes by mutation operators [1], natural language processing techniques with recurrent short-term memory (LSTM) neural networks [2], and variational autoencoders (VAE