33 multiple-sequence-alignment Fellowship research jobs at National University of Singapore in Singapore
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; Assessment of carbon pricing and carbon markets. The above list is not exhaustive, moreover, at any given point in time the institute undertakes multiple projects in parallel and opportunity will exist
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RNA metabolism using established human stem cell models of ALS. The post holder will utilise state-of-the-art molecular methods combined with cutting-edge sequencing approaches (through a collaboration
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limited to): Collaborate with research teams to conceptualise impactful research ideas and develop proposals aligned with strategic priorities Lead and manage research projects from initiation to completion
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multiple geographies to meet project objectives and deadlines Manage project timelines, budgets, and resources efficiently Adapt and scale laboratory operations in response to evolving project needs and
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& Responsibilitie 1. Project Leadership & Scientific Innovation Lead and execute independent research projects aligned with the lab’s goals. Develop and optimise advanced experimental methodologies. Drive hypothesis
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partners to ensure alignment with translational and commercialization goals • Support proposal writing, grant reporting, and documentation required for institutional and agency deliverables. • Assist
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to multitask effectively while supporting multiple projects across the department; Coordinate grants related to Clinical Research and other types of research; Provide logistics and administrative support; Assist
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participants. The projects assigned to the candidates will be aligned with their skillsets and career goals. The candidates will be involved in other projects as well for continuous learning and peer support
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these conditions. Independently carry out the design and execution of experimental research required by the research component of the project. Independently design, plan, and execute experimental research aligned
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resourceful, organised, and able to manage multiple priorities effectively. e) Be highly numerate, analytical, and be willing to work with complex datasets. The ideal applicant should also: a) Have experience