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modelling, advanced machine learning tools, etc. We welcome applicants with a strong academic background within engineering or applied science, whose expertise supports the development of resilient and
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, synthesis, and characterization of silicone-based foams for innovative healthcare applications. Key tasks will include tailoring the chemistry and processing of silicone polymers to create controlled foam
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degree in Computer Science/Software Engineering or related areas. Research expertise with background in at least two of the following areas: Cybersecurity, Block-chain, Cryptography (e.g., Multi-Party
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field, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein
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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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must have a PhD degree or must document equivalent qualifications in a relevant field related to Natural Language Processing (NLP), Literature, Information Science, Media Studies or a closely related