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Field
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programming and data analysis, including fluency in R and/or Python Experience in managing code repositories Record of scientific initiative and creativity in research or development activities Capable
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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 machine learning. Expert skills with at least one data analysis environment (e.g., R, Stata or SAS). Skills in machine learning and programming proficiency in languages like JavaScript and Python
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researchers and scientists (as a team team player and team leader) to produce high-quality research Mastering of a programming language (e.g. Python, C, Matlab,etc) Have good technical reading, writing and
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infectious disease epidemiology Proficiency in R and Python is required; experience with C/C++, or Java is desirable Other Position Details: Start date: As early as August 1, 2025 Initial term: 1 year, with
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. Proficiency in programming languages such as Python, C++, and MATLAB for spacecraft modeling and simulation. Experience with simulation environments and tools used in space research (e.g., GMAT, STK, Gazebo
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). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g. Cantera or CHEMKIN. Background in compressible flows and applied
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and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, C, Matlab, …) Self-driven, highly
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advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g
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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