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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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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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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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, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
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, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
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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
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field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E. Solid understanding of power
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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
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: ● Power module packaging and integration. ● High-density power converter design/prototyping, topology/loss analysis (including magnetic losses), thermal/EMI analysis. ● EMI emission and filter
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: ● Power module packaging and integration. ● High-density power converter design/prototyping, topology/loss analysis (including magnetic losses), thermal/EMI analysis. ● EMI emission and filter