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) for dynamic systems with unknown but measurable performance functions. Experience in system identification and online time-varying parameter estimation algorithms. Programming skills in MATLAB/Simulink, C/C
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new findings about the labor market. 2. Advanced computational work involving coding heterogeneous agent models and conducting estimation of key model parameters to match themoments in the data and test
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Location Lexington, KY Grade Level 06 Salary Range $18.20-24.82/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https
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Czech Academy of Sciences, Institute of Information Theory and Automation | Czech | about 2 months ago
during exploratory movements. Aim to establish links between material tactile parameters, dynamic changes in the visual information and material appearance. Tasks: Working on the research project: planning
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in Computer Engineering, Information Systems Engineering and Management or related areas. Priority will be given to candidates with knowledge/experience in: Some experience in requirements gathering
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by the NIH, EPC conducts studies that make breakthrough discoveries possible. Learn more at http://enprc.emory.edu KEY RESPONSIBILITIES: Under general supervision, performs a variety of defined
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developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
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advancing research technologies into clinical applications. Learn more at https://med.stanford.edu/ctru.html . We are seeking two 2-Year Fixed Term Life Science Research Professional 1’s to be the main
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other duties as assigned by Laboratory Animal Resources (LAR) management, including veterinarians. This position needs to possess basic computer skills, be able to follow written and verbal instructions
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Engineering, or related. Strong experience in ODE/PDE modeling and simulation (MATLAB, Python, or R). Experience withnumerical methods, optimization, parameter estimation, and sensitivity and uncertainty