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, the management team, and a dedicated group of research scientists, research assistants and postgraduate students. We are currently recruiting a post-doctoral researcher to work within the ERC Advanced project
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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studies by cryo-electron microscopy (cryo-EM) and/or X-ray crystallography. Perform data processing and model building (e.g., Relion , CryoSPARC , Coot, PyMOL ). Option 2 : Cell Biology Design and execute
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virological and immune system-based research through long-standing community partnerships and clinical trials research, along with using laboratory models of virus infection. The successful candidate will work
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concepts and compositions for high-performance electrolytes for emergent electrochemical device technologies such as redox flow batteries. Next generation energy storage and chemical transformation devices
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-dimensional cell cultures are important to enable realistic cell environments for disease modeling and to analyze cell interactions. This position will address the question of how one can develop minimally
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Cordillera of North America over the past 36 million years. The project aims to explore lithospheric dynamics using viscoplastic rheology models coupled with time-dependent mantle flow histories, including
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Cordillera of North America over the past 36 million years. The project aims to explore lithospheric dynamics using viscoplastic rheology models coupled with time-dependent mantle flow histories, including
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modelling the coupling of atmospheric and micro-physics moisture dynamics. The work will be carried out in collaboration with and under the supervision of Professor Edriss S. Titi. Duties include mathematical
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic