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level equivalent to a two-year master's degree in Electrical Engineering, Computer Science, Robotics, Safety Engineering, or related fields. Approval and Enrolment The scholarship for the PhD degree is
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of the integrated programme To be eligible for the integrated scholarship, you are (or are eligible to be) enrolled at one of the faculty’s master programmes in physics or quantum information science. Students
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processing tasks, including working knowledge of common computational biology libraries (e.g., Pandas, NumPy, Biopython). Experience in constraint-based metabolic modelling (e.g., cobrapy, memote). Experience
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demonstrated our technology for week-long culture of primary human hepatocytes into functional liver tissues. This foundation will give you a head start on refining each of the multiple underlying techniques in
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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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