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Biology group led by Dr. Magdalena Sznurkowska seeks a motivated PhD student with a strong interest in understanding the drivers of cancer spread. We focus on characterising the dynamic behaviour of tumour
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releases its client proteins remain elusive due to the complex and dynamic nature of these processes. This doctoral project aims to unravel these mechanisms by combining two cutting-edge techniques: NMR
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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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plumes from point sources using the MicroHH atmospheric model. Analysis of plume dynamics and NOx chemistry in the high-resolution simulations. Develop and refine data-driven methods for emission
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, interdisciplinary environment We offer We offer a dynamic working environment with highly qualified scientists, excellent computational facilities, and a large pool of state-of-the-art geophysical equipment
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the MicroHH atmospheric model. Analysis of plume dynamics and NOx chemistry in the high-resolution simulations. Develop and refine data-driven methods for emission quantification. Apply your methods to real
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project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is embedded in a consortium
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importance, the precise molecular mechanisms by which Hsp90 recognizes, processes, and releases its client proteins remain elusive due to the complex and dynamic nature of these processes. This doctoral
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Biology group seeks a motivated PhD student with a strong interest in understanding the drivers of cancer spread. We focus on characterising the dynamic behaviour of tumour cells within distinct metastatic
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analyses. This project is funded by the Swiss National Science Foundation (SNSF). The PhD candidate will collaborate closely with other PhD students and postdoctoral researchers, both within the group and