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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity If you are passionate about computational modelling, thrive on solving
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regression models using Stata or R. Collecting, managing, and structuring quantitative datasets Conceptualization of suitable empirical methodologies and models Statistical analyses of complex datasets and
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ecologists and modellers. Marine Spatial Ecology Lab (MSEL) is a dynamic group conducting world-leading coral reef research. MSEL’s portfolio spans reef ecology, ecosystem resilience, fisheries rebuilding
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functional genomics, CRISPR-based screening, or single-cell technologies. Hands-on experience with next-generation sequencing library prep and tissue culture models. Demonstrated ability to conduct independent
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Within the framework of a public-private
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 8 hours ago
, reinforcement learning, and computational game theory to address this gap. Fellows will contribute to advancing the next generation of models, algorithms, and system architectures for autonomous systems, multi
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of the correctness of software and hardware systems using machine learning. Recent advances in neural certificates—such as neural model checking and neural termination analysis—have shown promising results in
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models or inflammatory bowel disease (IBD). Familiarity with metabolomics (LC-MS, GC-MS) and analysis of microbial metabolites. Expertise in interkingdom microbiome research (fungi, viruses, archaea
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assimilation, and machine learning frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well