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metastasis. The position combines hands-on experimental work with data-driven analysis and offers close collaboration across academia and industry. Your primary tasks will be to: Develop and optimize nano
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knowledge of adaptive control, machine learning and AI. But the most important qualification is an eagerness to learn the mysteries of fuel-combustion-engine interaction. You must have a two-year master's
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the power of direct sequencing and AI to provide rapid, accurate detection and characterization of pathogens, enabling risk managers in the food industry to make better-informed decisions. Your primary tasks
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PhD student and clinical partners Participate in a 6–8 months research stay at KAIST Qualifications We are looking for a highly motivated candidate with: A two-year master's degree (120 ECTS points
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techniques. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in a relevant field, such as bioinformatics
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to apply if you are excited about the research area. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree
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-of-the-art in incorporating considerations beyond efficiency in urban transportation planning to improve societal outcomes while fostering collaboration with Cornell University. Your primary tasks will be
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have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment The scholarship for the PhD degree is subject
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materials physics is a plus. High level of motivation and creative problem-solving skills. Excellent communication and writing skills in English. You must have a two-year master's degree (120 ECTS points
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research environment. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment The scholarship