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, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab to the development
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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., Python, R, MATLAB) Experience in built environment monitoring Fluent English skills, both written and spoken. Ability to publish the research results in high-reputation international journals Personal
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have: good knowledge of quantum mechanics knowledge of electromagnetism and solid-state physics experience with scientific programming with e.g. Python, Matlab, Julia experience with writing a scientific
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engineering and wave-wind theories is advantageous Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable Ability to work independently
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., Python, C#, C++) and demonstration in the development of serious games (e.g., Unity, Unreal) is required, ideally for pedagogical use Solid background or interest in emergency response, construction safety
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Energy simulation software, such as TRNSYS, Modelica, EnergyPro Programming languages, such as Python Ability to communicate results in technical reports, and prepare scientific papers for publication in
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gas chromatography. It is also probable that you will use CAD (e.g. for 3D printing), programming (e.g. Python) and MEMS chip design and fabrication. You should therefore have a desire to learn new
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related field Documented metagenomics experience Experience with writing and running data analysis scripts in a command-line interface Solid programming experience in Python Experience with scripting and
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, catalysis or surface science. Experience in scientific programming, e.g. using Python, is an advantage. The candidate has obtained excellent grades in his/her Bachelor and Master educations, good