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techniques. ● Proficiency in instrument control, data acquisition, and data analysis using tools such as LabView, Python or MATLAB. ● A record of peer-reviewed publications and demonstrated ability
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extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP). This project leverages the large-scale high-performance computing (HPC
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design/modeling/integration, and active filtering. ● Converter control/modeling, including and not limited to high-speed motor drive and grid-tied converters. ● High voltage engineering and
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design/modeling/integration, and active filtering. ● Converter control/modeling, including and not limited to high-speed motor drive and grid-tied converters. ● High voltage engineering and
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-transcriptional gene regulation; kidney biology or polycystic kidney disease; mouse genetics, transgenic mouse models, and animal phenotyping; mammalian cell culture, primary cells, or kidney organoids; or RNA
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, ligand GaMD). ● Experience building and interpreting Markov State Models or comparable approaches for identifying metastable states and conformational transitions. ● Proficiency in Python and
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that connect single-cell and spatial transcriptomic data to mechanistic, biophysically grounded models of gene regulation. There is also scope to work on exact and approximate solutions of stochastic models
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and environmental conditions. Candidates should have a strong publication record in mobile robotics. A strong focus on sensing and control systems, demonstrated through hardware-validated experiments
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data beyond the application of established pipelines OR experience developing mathematical or statistical models of biological systems. ● A record of publishing computational biology (broadly defined
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. ● Experience with version control and reproducible research practices, including Git and documented computational workflows. Brief Description of Duties: The Postdoctoral Associate will collaborate with