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Field
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, and conducting large-scale quantitative analyses of semantic change. You will work closely with Latin linguists to integrate linguistic insights into computational models and help build open-source
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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working on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and
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response, and patient stratification. As clinical diagnostics move toward more personalised and preventative models, it is increasingly vital that sampling approaches are minimally invasive and patient
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Knowledge of biogeochemical cycles Experience with process-oriented modeling Selection Criteria PhD degree or Master degree in a field such environmental sciences, agronomy, applied mathematics
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tools, the measurement and modeling of PFAS dispersion, and the study of their trophic transfer in aquatic species of interest to fisheries and aquaculture. **Analytical and Metrological Component
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Alzheimer’s, Parkinson’s and Huntington’s disease. Postdoc will work with Drosophila models of these disorders using genetic, statistical, biochemical and other molecular approaches. This will require working
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cultured endothelial cells and mouse models, integrated multi-omics (e.g., bulk and single-cell RNA sequencing, metabolomics, proteomics), quantitative imaging and causal inference, and targeted gene
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Model measurements, and searches for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings
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urban structures * Urban informatics applications for sidewalks analysis ** Candidate Qualifications: * PhD in Physics, Math, Computer Science, Engineering, or a related field. * Strong background in