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strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct original, high-quality research in trustworthy
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both academic research and industrial applications. In addition to theoretical research, the work might involve implementing new algorithms in the SCT tool Supremica, which is developed by the Automation
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of size-distributions, partition coefficients, stoichiometries, equilibrium versus kinetic traps, energy barriers, and elucidation of co-assembly structures over a range of length scales. The PhD student
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Subject description Over the past century, climate and land-use transformations have significantly altered ecosystems, shifted species distributions toward higher latitudes and altitudes, and
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absorption/fluorescence and scattering experiments at X-ray free electron lasers. Your focus will be to derive new algorithms for interpretation of the scattering data by introducing chemical force-fields via
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through X-ray imaging study structure/morphology on fibre level, providing quantitative descriptors (dimensions of structural building blocks, size distributions, porosity, etc.) and reveal the influence
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structure/morphology on fibre level, providing quantitative descriptors (dimensions of structural building blocks, size distributions, porosity, etc.) and reveal the influence on these by modification and
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(stina.andersson@lnu.se ) Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization. Please apply by clicking on the Apply button at
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including modelling to determine the localization, distribution, and potential on/off-target effects of ONs in vivo. The final aim is to gain know-how on how to optimize formulations for different
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of distributed systems and networks for machine learning inference. Applying machine learning concepts, with the goal of devising agentic frameworks, will also be a part of the project. Supervision: Professor