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studies Monte Carlo simulation and/or statistical software or package development (e.g., R, Stata) Multilevel modeling (MLM), difference-in-differences (DID), or comparative interrupted time series (CITS
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strong publication record and background in computational biology, molecular omics, and AI are essential. Spatial Omics Data Processing and Analysis - Analyze spatial transcriptomics data using platforms
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techniques, including flow cytometry, ELISA, immunofluorescence, RNA/DNA scope. Molecular biology assays, like qPCR and advanced cloning. Preclinical models of HIV/AIDS. Next-generation sequencing and
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development, and implement mechanistic maternal–fetal PBPK models. The candidate will perform model development, qualification, and simulation studies. They will integrate dose–exposure–response modeling by
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Biology, Development, Molecular Biology, Genetics, Neuroscience, Evolutionary Biology or similar field
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: The candidate must have a Ph.D. (or MD/PhD) in biological sciences such as molecular biology, cell biology, cancer
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that simulate biogeochemical processes. The research will also involve handling microbial cells (in vitro) and conducting gene-level analyses (e.g., PCR and sequencing). Prior experience with microfluidics