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for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative
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Postdoctoral Research Fellow with expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through innovative data-driven approaches in
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, and microbial resource management. The work comprises the analysis of temporal dynamics of bacterial and archaeal communities, large-scale sampling and quantitative molecular analyses, as
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recognition. Primary Job Responsibilities Determine high‑resolution structures of large enzyme complexes using cryo‑EM (single-particle reconstruction and/or cryo‑EM sample preparation and data collection
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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experience working with large, complex data from varied sources. The candidate should have proficiency with statistical software, ideally Stata, strong written and interpersonal communication skills, and a
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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“big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental
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harvest “big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and
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leverage the GFDL-MOM6 North West Atlantic model to perform a range of simulations under the shared socioeconomics pathways (SSP) future scenarios. Analyses will involve interpreting and analyzing large data