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Field
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to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
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energy modeling on the economic and policy aspects of residential building retrofitting. The candidate will support econometric evaluation of the WAP implementation expectations and results. To accomplish
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to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
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reporting, publications, and intellectual property generation. A successful candidate must model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Ability to work onsite at Argonne
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engineering (CRISPR/Cas9, Gal4/UAS), including the generation of genetic tools in non-model Drosophila species; single-cell genomics (scRNA-seq and single-cell ATAC-seq); in vivo functional imaging (two-photon
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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful
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migraine and other headache disorders, neuroepidemiology, and other neurodegenerative disorders. We use advanced biostatistical modeling, artificial intelligence (AI), machine learning, and neuroinformatics
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models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting, and anomaly detection
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on endocrine and neuroendocrine tumours, integrating preclinical models, molecular profiling and translational approaches to identify novel therapeutic vulnerabilities and biomarkers associated with treatment
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, instrumentation, and data acquisition systems; conduct laboratory and field testing; and perform thermodynamic analysis, system modeling, and performance assessments. Analyze and interpret experimental and modeling