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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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for the university and the Academy is clearly articulated, shared, understood, and acted upon effectively by department members. To lead the departmental strategic planning process to ensure the department is well
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processing 2. nonequilibrium physics of molecular machines 3. understanding the role of phase-separated condensates with quantitative models 4. Modeling multicellular systems in mechanobiology 5. AI assisted
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culture. Application Process: Please click the Apply button above to submit your application. Your application needs to include the following subject line: Lecturer in English for Academic Purposes
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), operation management, information system, and management science. Location: Taicang, Greater Suzhou, China ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University
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, Computer Vision, Natural Language Processing, Biocomputation, Neural Networks, Generative Artificial Intelligence, or Mathematical Modelling who can: Conduct high-quality research, evidenced by publications
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, advise, mentor, retain, and graduate students in a timely manner; Adjudicate students concerns and grievances in a fair and consistent manner while upholding University policies and processes; Maintain
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the pharmaceutical/biotech industry or collaborative research with industry partners. Candidates with hands-on experience in ADC manufacturing, process optimization, or regulatory submission (e.g., IND/NDA
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. Knowledge of and experience in Quality Assurance processes including accreditation requirements of professional bodies, and understanding of approaches to quality enhancement. Strong computer skills
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, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks, generative artificaial intelligence, or mathematical modelling who can
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internationally. Responsibilities and Duties We are looking for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural