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. The position integrates preclinical optogenetic and intrahippocampal kainic acid ( IHKA ) mouse models with retrospective human iEEG and therapeutic outcome data. Responsibilities include small
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conducting Illumina sequencing runs, as well as data analysis, is highly preferred. Experience in biochemistry and structural analysis of RNA -processing enzymes is desirable. Equipment Utilized Must
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analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines
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, executes, and analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements
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. Designs, executes, and analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements
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analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines
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integrating them with biosensing frontends. Computational Analysis: Strong skills in developing biosignal processing algorithms and implementing machine learning models for data interpretation. Technical
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integration of spatially resolved gene expression data to characterize tissue architecture, cell–cell interactions, and microenvironmental heterogeneity. Long-read sequencing: Computational processing and
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, clinical trials outcome data, and/or administrative claims data. Skills and knowledge in machine-learning and natural language processing is preferred but not required. Proven ability to work with the
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, clinical trials outcome data, and/or administrative claims data. Skills and knowledge in machine-learning and natural language processing is preferred but not required. Proven ability to work with the