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Field
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programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in English. Application Applications should be submitted online and through email as a zipped file
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oscillator dynamics and synchronization and complex networks. Skills in computer programming (preferably Matlab), written and oral communication. Minimum Qualifications Ph.D. in aerospace, mechanical
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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. Programming expertise in R/Python/MATLAB is essential, and some knowledge of C/C++ will be preferred. Candidates with demonstrated accomplishment in academic research, as can be judged from published papers
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, Electrical Engineering, or related field. A good command of English, both written and spoken. Good programming skills in languages such as Matlab and Python. A curious mindset. An interest in multi
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projects. Experience with grant writing, mentoring students, and collaborative academic or industry research is preferred. Knowledge, Skills and Attitudes: Strong programming skills (Python, C++, MATLAB) and
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simulation, with strong skills in mathematics Highly proficient in Matlab/Simulink for system modelling Experience with (stationary) battery storage systems is required Prior exposure to HIL systems is a
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environment. Experience with statistical software, including Stata, R, Python, and/or MATLAB. PREFERRED QUALIFICATIONS Prior research publication(s) and/or forthcoming publication(s) in top finance, economics
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) Demonstrated knowledge and experience with a single molecule laser trap assay. The ability to manage large and complex data sets using, MatLab, R or related programs The ability to isolate and/or express
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experience in a selection of languages such as C/C++, FORTRAN, Python, Julia, or MATLAB Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods