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• Registration form (online GAIA) *Be in possession of the doctor's degree at the time of the formalization of the contract. Additional comments Duration of the contract of employment: 12 months, renewable up
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techniques for the preconcentration of contaminants from water samples. Analysis of samples using methods based on LC-MS/MS and LC-HRMS (Orbitrap) following protocols for suspect screening, target analysis and
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Relativity, and cosmological measurements using GWs such as Hubble constant and probes of inflation and phase transitions in the early universe. We are developing new data analysis methods like the use of deep
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on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. Enhance holographic methods for optical tweezers with generative models and
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synthesis of organic compounds and afterwards the study of their properties and application within the RedFox project. The goal of the project is to develop new methods for the reduction of phosphine oxides
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to the final goal of a circular economy by creating chemical technologies that align with the principles of green chemistry and that implement sustainable methods of production. A key distinctive feature is the
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photosynthetic membranes. Specifically, pump-probe ultrafast nanoscopy of transport in model OPVs and light-harvesting complexes. Specifically, advance structured excitation methods for low light level exciton
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multi-city analyses (quantitative and/or mixed-methods) to identify mechanisms, profile typologies and factors that trigger or moderate opposition and backlash over time. • Coordinating with the project
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privacy constraints. About the Project The central aim of this project is to pioneer statistical methods for high-dimensional diffusion processes under privacy constraints. While stochastic differential
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processing. In addition, the postdoctoral researcher will be responsible for processing and analysing complex fNIRS data, as well as related behavioural and observational data, and developing methods to model