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of computer science, mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in machine learning or statistical modelling and have some experience with computing through Python, R or C
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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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and the efficiency of triple transfections of HEK cells and apply the learnings to the production of adeno-associated virus (AAV) gene therapies. 2] To develop a process model suitable for application
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