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Field
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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Epidemiology or related subject or a similar quantitative discipline. Programming skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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experience with coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience
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quantum optics simulation via MATLAB, COMSOL, Lumerical, etc., and understanding of health and safety regulations related to laboratory environments. Please include responses to the following questions as
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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learning application, etc.; (c) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (d) have good communication skills; (e) be self-motivated; and (f) have good professional ethics
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and Competencies: Proficiency in CAD software, rapid prototyping and application of autopilot flight control. Proficiency in Python, C++, and MATLAB/Simulink; familiarity with robotics middleware (e.g
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(e.g., C/C++, Python or MATLAB). • Excellent verbal and written communication skills • Excellent teamwork skills, with the ability to collaborate effectively across disciplines. This milestone
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the state of Indiana. Basic Qualifications Ph.D. or terminal degree in biomedical engineering or related field. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology