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temporary term contract, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a PhD degree in Mechanical Engineering, Electronic Engineering
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availability and satisfactory performance) Applicants should possess a PhD degree in Mechanical Engineering, Electronic Engineering, Automation, or a related field, along with a minimum of two years of relevant
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Matter Physics / cond-mat-th , Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials , Condensed Matter Theory , Strongly Correlated Materials , Superfluidity and superconductivity
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platform using AI. Involve in the development, implementation of the platform, as well as integration with multi-modal data from electronic health records, medical images, and sensor data from wearable
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biology, and cryo-electron microscopy (single-particle analysis and electron tomography). Preference will be given to candidates with research experience in biochemistry. In particular, we seek applicants
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the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable
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data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
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-modal data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing
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biology, and cryo-electron microscopy. Preference will be given to candidates with research experience in biochemistry and cellular biology. In particular, we seek applicants with expertise in human DNA
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their stability, drug release kinetics, encapsulation efficiency and electron microscopy imaging. Integrate innovative approaches to enhance the specificity and efficiency of advanced therapeutics, with a