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design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group
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biomedical and mechanical engineers, biologists, and pharmacists. Expectations Candidates will be responsible for working with a unique transgenic mouse model that enables specific cardiomyocyte reprogramming
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GROMACS, AMBER, MARTINI, OpenMM, or similar tools ii) Experience with machine learning or AI experience (e.g., PyTorch, JAX) for RNA modeling and/or drug discovery iii) Experience in coding and scripting
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mesoscale fractal geometry, creating physics-informed neural network models to analyze turbulent structures, and comparing simulation results to astronomical observations to develop methods for inferring
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when extending an offer. The ideal candidates will hold a PhD, have multiple years of prior research experience using a model organism, and a track record of peer-reviewed publications. Prior experience
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computational modelling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical experiments. The candidate will be involved in supporting research
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immune system dynamics and therapeutic interventions. Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and validate novel biomarkers and molecular targets
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Abrahao (NYU Shanghai) and João Sedoc (NYU Stern). Research Focus Areas Our research encompasses topics in DL and AI, including but not limited to: Deep Learning Algorithms and Paradigms Generative Models
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) in a relevant field. The ideal candidate will have experience in design and synthesis of drug delivery nanoplatforms, and a strong background in testing drug formulations in in vitro and in vivo models
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chemistry, battery systems, interfacial electrochemistry, or metallic glass synthesis is desired. The position involves collaboration with theoretical modeling groups and utilization of synchrotron X-ray