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Field
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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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The Yong Li Laboratory at Baylor College of Medicine is searching for highly motivated and talented postdoc candidates to work on Cancer Biology and Therapy. The positions will apply molecular, cellular
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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
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, advanced characterisation and materials modelling. The ambition for this project is to carry out multidisciplinary research that will explore Li-rich three-dimensional cathodes free from Co and Ni and with
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demonstrate strong experimental skills or a background in modelling and analysis of molecular computation. Prior experience with DNA strand design or molecular computing is desirable. You should be able to plan
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vitro cellular models and in vivo mouse models to investigate mechanisms of cardiovascular disease. He should have prior experience with the molecular biology techniques such as immunoblotting, PCR
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genetically engineered mouse models (GEMMs), orthotopic/xenograft systems, and advanced molecular and cellular techniques to explore tumor progression, immune modulation, and treatment resistance
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Fellows. Successful candidates will be recent PhD graduates with high levels of energy and curiosity, and who are interested in making fundamental discoveries in understanding the molecular biology of brain
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, inflammasome components, and adaptor proteins such as cGAS , AIM2, and TLRs . Our research integrates cryo-EM, cell biology, and chemical biology to dissect how molecular architecture governs immune function