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the structure and robustness of the ecological networks supporting reef fish communities at different positions along depth, latitude, and longitude gradients; challenging these networks under hypothesized future
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adherence (‘treatment inequalities’), for which treatments (Study 1); identify differences in cancer care experience, and the extent to which they mediate treatment inequalities (Study 2); understand how
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-term coevolution experiments to study the evolution of metabolic cooperation Generate and characterize bacterial mutants Perform coculture experiments with different bacterial strains to determine
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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unit and then pre-processed data used as the input of the deep learning algorithm. The research will employ the SafeML tool (a novel open-source safety monitoring tool) to measure the statistical
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issues in federated and decentralized learning systems. The aim is to develop novel methods for securing communication against passive and active adversaries, leveraging tools from statistical estimation
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of different remote sensing and mapped data, statistical modelling, mapping of fire risk and analyzing the effect of forest management for fire behavior. Considered remote sensing data includes airborne and
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1 Dec 2025 Job Information Organisation/Company Universitat Autonoma de Barcelona Department Department of Physics Research Field Physics » Solid state physics Physics » Statistical physics Physics
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investigate how and why extreme wildfire activity is changing across tropical and extratropical forests. Using global Earth observation and climate datasets, the student will identify different syndromes
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simulations are plagued by the same slow relaxational dynamics. Through collaboration across Engineering, Statistics and Chemistry, this project will develop state-of-the-art simulation algorithms to circumvent