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. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory analyses for latent spaces formed from neural, genetic, and behavioral data
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. The mission of the Flatiron Institute is to advance scientific knowledge through computational methods, including data analysis, theory, modeling, and simulation. It currently houses five centers, focused
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communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic
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development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which
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, Extensive experience in building Neural Network models and a solid foundation in mathematics. Technical proficiency in Python, C, or C++, and familiarity with Tensorflow Lite/Micro, Pytorch. Experience in
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modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of spectroscopic methods to study photochemical processes. Essential Duties and Responsibilities
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We are seeking a highly motivated Postdoctoral Research Associate in the field of Theoretical and Computational Chemistry to develop accurate models of time-resolved X-ray photoelectron spectroscopy
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pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology techniques
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pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology techniques
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%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with