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You will develop a new coupled solid/ fluid mechanics-based numerical model to simulate the motion of debris flows You will incorporate novel field data currently being collected at numerous
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empirical heat source definitions, such as the double ellipsoidal model, to represent energy input. While effective in reproducing the temperature field for analysing residual stresses and distortions
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the direct supervision of Prof Steven Sourbron. You will work closely with an interdisciplinary team, including an engineering Research Associate focused on model development (WP1), alongside
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cultural interpretation with language models. The position is part of the research project “CuRe: Cultural Reasoning for Responsible Language Model Development” (DFF project 5334-00088B), funded by
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burial of microplastics and POC in currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on
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. The aim of this project is to combine biophysical methods, model membrane systems, epithelial permeation assays, and advanced microscopy to provide new molecular insight into oral peptide delivery
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the psychological, social, and technological drivers underpinning VI-Follower(User) engagement. Addressing this gap, the present PhD project seeks to develop and empirically test a research model that
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energy technology adoption in housing in Lausanne. An interdisciplinary agent-based model (ABM) has been developed to represent the energy transition at the level of Lausanne, integrating not only
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focused on computational analysis and supporting model development as part of a dynamic, fast-moving experimental program that applies molecular biology to the investigation of brain function and
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research and applications, including remote sensing and computer vision, geospatial foundation models, LLM-enabled research workflows, API-based data and model integration, model selection, tuning