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region” with a focus on capacity building, dialogic approach and learning communities, funded by Horizon Europe. The job consists on conducting research tasks in the project: contribution
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
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or equivalent Research FieldEngineering » OtherEducation LevelPhD or equivalent Skills/Qualifications Skills in acoustics (PhD in acoustics required) and acoustics software. Skills in machine learning and deep
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to facilitate perceptual learning of different stimulation patterns; and (iii) the development of advanced AI algorithms capable of converting camera input into real-time electrical stimulation parameters. In
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the corresponding category range. Work with interesting experimental science. Travelling to scientific singular infrastructures. Opportunity to gain experience learning first-hand. Personal growth, innovation, and
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of inflation and phase transitions in the early universe. We are developing new data analysis methods like the use of deep learning and the use of robust statistics. This work is naturally extended to studying
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to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials. · Other research experience will be considered
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speech (i.e., statistical learning), we aim to understand the neurophysiological underpinnings of the beneficial effects of music exposure across early language acquisition. The underlying neural network
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the corresponding category range. Work with interesting experimental science. Travelling to scientific singular infrastructures. Opportunity to gain experience learning first-hand. Personal growth, innovation, and