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will develop and apply advanced methodologies, including scenario analysis and the innovative use of satellite data, to model the exposure and vulnerability of companies to climate-related hazards (e.g
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with large language models (LLMs). The successful candidate will investigate both theoretical aspects – such as understanding the mechanisms and limitations of reasoning in modern LLMs – and practical
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in solution for up to hours. Now, we leverage the unique abilities of nanopore trapping to detect proteins and their conformations, dynamics, interactions, catalytic mechanisms etc. in real-time
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nanoparticle systems. Investigate model particles such as liposomes, mesoporous silica and silver nanoparticles. Investigate RNA-LNP formulations for next-generation gene therapeutics, examining how lipid
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, if any, must be included) – Certified copy of Academic Degree/s in original language along with a certified translation into English, and/or Diploma Supplement (if applicable) – Certified copies
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for dynamic biological environments. Despite the promising potential of soft hydrogels in combination with in situ mineralization that could offer greater flexibility and biocompatibility, research in this area
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datasets is a plus. We offer you A fully-funded PhD position for four years in a dynamic research group with an excellent research infrastructure in the international and interdisciplinary Department
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with a strong interest in understanding the drivers of cancer spread. We focus on characterising the dynamic behaviour of tumour cells within distinct metastatic niches. Building on our experience in
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of adaptive radiation and associated key innovations in the evolution of freshwater diatoms. By integrating morphology, physiology, genomics, transcriptomics, and computational modeling, we aim to (i) determine
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next fall, Marc Riembau as CERN/EPFL joint staff member. Research areas include quantum field theory, high-energy phenomenology, physics beyond the Standard Model and cosmology. Beside LPTP