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quantitative and/or qualitative research methods and be willing to further develop expertise in advanced methodologies. Experience with survey research, content analysis, statistical software (e.g., R, SPSS
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biological data. Analyzing and visualizing collected data using appropriate statistical methods and relevant software. Conducting literature reviews and completing doctoral-level coursework. Presenting
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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of food quality, safety and security applications where either an emergency exists or an alternative method toward the sophisticated and expensive laboratory instrumentation is being required. Main Tasks
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models. We further propose to develop scalable structure learning methods for these new models, including latent variable identification, and to demonstrate their effectiveness on real data. For this, we
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, and works on electronics from material and process to a finished, verified component. We work in close cooperation with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB and SKF, with
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Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical
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compromised UAV may send poisoned model updates that corrupt the shared intelligence of the swarm. This PhD will develop lightweight, trust-aware methods to make FL models safer for UAV swarms. The successful
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using finite-nucleus observables, including binding energies, charge radii, giant resonances, and parity-violating electron-scattering data. Particular attention will be paid to the isovector sector
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accurate modelling and understanding of damage at this length scale can help inform life assessment at the component scale. Current models are able to capture grain-averaged mechanical behaviour effectively