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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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). The ideal candidate would be a recent PhD graduate with a demonstrated capability to propose new hypotheses based on scientific literature, design experiments, and interpret results in a mechanistic framework
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, the ability to work independently and as part of collaborative research efforts, and a strong desire to make a major contribution to the field of respiratory viruses. Experience in cellular and molecular
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. The applicant should have excellent communication skills, the ability to work independently and as part of collaborative research efforts, and a strong desire to make a major contribution to the field of cancer
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Post Doctoral work in the planning, conducting and/or supervision of original research. Responsible for participating in a research project associated with PhD studies and the interpretation
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your dissertation advisor indicating that you will complete the PhD by the start date of the fellowship. *The names and email addresses of three referees, who will be contacted automatically by
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effectively with computer software including Microsoft Office. Skilled with the use of aseptic mammalian cell culture techniques. Skilled with common laboratory techniques and equipment consistent with PhD
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Preferred Qualifications PhD in polymer chemistry, materials science, microbiology, or a related field with expertise in antimicrobial research. Knowledge/Skills/Abilities This position requires knowledge
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numerical modelling. Ability to participate in research meetings to troubleshoot research problems and discuss the direction of research. Skills Fluency in at least one scientific computer language (e.g., C
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innovation in Asia—and the possibility to apply for NUS faculty positions upon completing your tenure. Eligibility Criteria Displayed exceptional intellectual ability to produce original work of the highest