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include (but are not limited to) developing/applying new approaches to improve range shift projections under climate change, regionally modelling organism-environment interactions across species ranges
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hematological neoplasms and aberrant cell signaling. Utilizing multi-omics, mouse models (GEMMs/PDXs), and human biospecimens, the incumbent will conduct independent research to uncover novel therapeutic targets
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sequence and to model the evolution of body size using bounded evolutionary models. 3) Biomechanical and Hydrodynamic Modeling: Apply computational fluid dynamics to test hydrodynamic hypotheses related
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. The postdoctoral associate will receive mentored training in environmental epidemiology, cancer survivorship, exposure assessment, survival analysis, mixture modeling, biomarker analysis, and health disparities
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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will be to systematically investigate, evaluate
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. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates will present research findings through
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structural biology (cryoEM), proximity labeling (TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R
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of transcriptomic, metabolomic, proteomic changes in rat/mouse models of Dementia. The individual will be responsible for planning and executing experiments independently. The individual has to be highly skilled in
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independent research aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as