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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 research results in high-reputation international journals Personal
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Master’s degree (120 ECTS), with experience in Animal Breeding. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in
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-EM Experience/knowledge with Python-interfaces, including CryoSPARC or Relion. Experience/knowledge with purification and functional characterization of - preferentially eucaryotic - membrane proteins
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culturing, etc.) Strong interest in phage biology & antimicrobial resistance Preferred: Experience with omics data analysis (esp. RNA-seq, proteomics) Bioinformatics tools and computational skills (R/Python
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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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pump-probe technique, photophysics, or optical characterization of nanomaterials is highly desirable. Familiarity with programming for instrument control and data analysis—using platforms such as Python
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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