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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3
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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3
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of electrophysiological and 2-photon imaging data as well as behavioral analysis and circuit mapping in the context of compulsive and Parkinsonian behaviors. Within the predetermined research scope and methodology, conduct
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication-efficient and
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genomics, spatial metabolomics, single-cell sequencing, Optical/Photoacoustic imaging, seahorse, WB, RT-PCT, immunostaining and data analysis related to these assays. The experiments also include using cell
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research and ensure that all experiments are appropriately conducted following the policies and procedures of Stony Brook University. The research performed will focus on data analysis
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research and ensure that all experiments are appropriately conducted following the policies and procedures of Stony Brook University. The research performed will focus on data analysis
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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E