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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr. Leticia Tarruell. The interplay of interactions and gauge fields is responsible for some of the most intriguing phenomena
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
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drought resilience and adaptation. Current groundwater flow models, however, often exhibit important uncertainties related to input parameters and boundary conditions. Reducing this uncertainty is difficult
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position within a Research Infrastructure? No Offer Description NOTICE OF COMPETITION FOR FIVE RESEARCH SCHOLARSHIPS – MASTERS STUDENTS IN COMPUTER ENGINEERING AREA OR RELATED AREAS – SINES NEXUS PROJECT
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lack a direct correlation with process parameters, limiting their ability to predict temperature fields under varying process conditions. The transferred arc energy distribution becomes particularly
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), ensuring that the desired environmental parameters of the sample are met during the whole experiment. These parameters may include magnetic field, temperature, humidity, and other relevant factors. Through
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. Possible Activities: The selected candidates will work on Develop novel estimation frameworks for inferring latent risk, ambiguity, and proficiency parameters of other agents in cooperative multi-agent
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PhD Studentship in: Algae speciation and bloom risks in drinking water reservoirs: linking microbiological and environmental parameters to prevent treatment impacts School of Mechanical, Aerospace
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 17 days ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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projects. They will be trained in relevant data analysis techniques. Required skills will include high-parameter flow cytometry, basic molecular techniques such as PCR and ELISA, cell culture, data