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with excellent English proficiency to explore this fascinating intersection of experimental physics, machine learning, and complex systems. A background in optical microscopy and machine learning is of
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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the goal of building a multiscale foundation of knowledge that is directly relevant for understanding complex human diseases. This project is part of the TRANSCEND Doctoral Network (https://biomed.au.dk
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of Technology. The mission of the Dynamics and Control Section is to perform research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in
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, especially combinations thereof. The research is focused on molecular simulations of light-harvesting complexes and membrane proteins. Successful candidates should have a master's degree in theoretical (bio
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complex materials with tailored properties using high-throughput simulations, data analytics, and material characterization. Benefit from strong connections to top research infrastructures like the Jülich
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, reliability, and availability of complex industrial systems while making maintenance strategies more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance
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linked to optical activity. This thesis will aim at the design and development of novel luminescent lanthanide complexes with the ability of photonic upconversion, which is the emission of photons higher
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programme No Description/content The IMPRS for "Quantum Dynamics and Control" is a graduate school with its headquarters at the Max Planck Institute for the Physics of Complex Systems in Dresden/Germany and
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after a positive evaluation is possible and aspired. Your responsibilities We are looking for a motivated researcher who is passionate about data and shares the RDC’s vision of making complex microdata