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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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occurs via small-scale extreme events that propagate to large scale. A detailed check of this hypothesis thus requires multi scale tools and dedicated experimental setups as well as the development
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the majority of immune cell types. The multi-scale computational model integrates mechanistic molecular and cellular-level models with population whole-body models, utilizing machine learning and distributed
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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming
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. Selected innovators get the backing of MIT and our community of supporters to scale their impact and drive lasting change. The full job description is here: https://solve.mit.edu/careers
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build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between synaptic resilience and the reliability of synaptic responses. The work primarily
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, reproducible tools and datasets. • Infrastructure and benchmarking for large-scale social-science simulation and validated workflows. The group website is https://torrvision.com/ Feel free to add Professor
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State’s community.Together, we’ll create meaningful impact at a scale few others can match. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs
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study and understand the properties of III-N with polarity N via a detailed understanding of the fundamental mechanisms of polarity inversion by a multi-scale approach. Indeed, the objective of the N