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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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dynamics of two- more persons’ data during social interaction (e.g., decision making, turn-taking dynamics, or eye-movements) strong programming skills in e.g., MATLAB or Python strong background in signal
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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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data processing pipelines, in Linux-based environments. Have experience in bash scripting and overall applications development. Knowledge and experience of C++ , Python, SQL, JavaScript are necessary
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Python and Pytorch as well as deployment on GPU clusters. A strong publication record in graph neural networks, geometric deep learning, representation learning, machine learning–based molecular/materials
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-haves): Programming and data work: R or Python; regular expressions; data wrangling libraries; Structured Query Language (SQL). Web and text data: web scraping; application programming interfaces (APIs
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) or a similar degree with an academic level equivalent to a two-year master's degree.[BN3] [SK4] Strong programming skills in Python and MATLAB Background in biomedical signal processing, ML, and BCIs
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
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skills (e.g., Python, Java, or similar) Ability to work independently as well as in an international research team Excellent command of English, written and spoken. You must have a two-year master's degree
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating