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spending risk affects savings. Knowledge of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is
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of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is also highly valuable. The successful candidate
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Qualifications PhD in Aerospace Engineering, Mechanical Engineering, or a closely related field. Postdoctoral experience. Mastery of programming languages C++, Python + MATLAB. Preferred Qualifications Experience
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. • Proficient experience with various robotics simulators (e.g., MuJoCo, PyBullet, Gazebo) and excellent programming skills in C++, Python, and MATLAB with the ability to develop efficient, production-quality
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knowledge in modeling light propagation in non-Hermitian random media. Proficiency in programming languages such as Matlab, Mathematica, or Python. Proficiency in using electromagnetic simulation software
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electrophysiology and behavioral datasets. Use tools such as MATLAB, Python, or similar platforms for signal processing and statistical analysis. Maintain accurate records of data and experiments, adhering
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gdsfactory. Knowledgeable in MATLAB and Python is necessary. Knowledgeable in Ansys Lumerical FDTD, MODE, INTERCONNECT, CML COMPILER, MULTIPHYSICS We regret that only shortlisted candidates will be notified
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skills. Proficiency in data analysis and statistical tools (e.g., R, Python, MATLAB) and familiarity with probabilistic modelling concepts used in coastal hazards. Excellent written and verbal
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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DSP Matlab/C++ Library and of the VPItoolkit DSP Library Implementation of DSP algorithms in MATLAB/C++ Research work in existing projects Research and development in the area of digital signal