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that explicitly incorporates protein–ligand dynamics. You will be responsible for: Designing and implementing innovative deep neural network models. Integrating physical principles and molecular modeling knowledge
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, (Bio-)Engineering, Biological Sciences, Microbiology, Biochemistry, Systems Biology, Molecular Biology, Bioinformatics/Computational Biology, or related fields. Experience in designing and running
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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 cells within distinct metastatic niches
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, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a molecular chaperone essential for the folding and maturation of at least 20% of all
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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 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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electron microscopy, atomic force microscopy, metal evaporation, wire bonding), performing computer-based simulations and modelling in COMSOL, physics of strongly correlated many-body systems. We offer you
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processing (reactive ion etching, optical/electron beam lithography, scanning electron microscopy, atomic force microscopy, metal evaporation, wire bonding), performing computer-based simulations and modelling
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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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We offer you ■ You will have access to state-of-the-art research equipment in RNA sequencing, cell biology, computational resources, and microscopy. ■ You will work in a dynamic and highly