320 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions in Singapore
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Sun on LRRK2 project under a project on Develop novel allosteric inhibitor of LRRK2. The main responsibilities of the position include: 1. Developing innovative methods for the structural analysis
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publish conference/journal papers Ability and willingness to train and advice graduate students on relevant procedures Regular reports and good documentation of work are expected Excellent oral and written
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to the Quantum project Supervise a team of 6 to 9 researchers Train young researchers and students Coordinate technical and scientific efforts Job Requirements: The candidate must hold a PhD degree in Experimental
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with project objectives. Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and
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and conduct research projects that utilize different methodologies (e.g., surveys, experiments, interviews) Communicate research findings at conferences and research meetings Prepare research papers
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, supported by access to rich datasets, computing resources, and collaborative networks. The position offers opportunities to contribute to impactful projects, mentor students, and develop research portfolios
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and Mathematical Sciences at NTU to develop new knowledge and technologies. Key Responsibilities: Design of topological photonic devices Experimental study of topological and non-Hermitian photonic
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track record and international recognition in research, as well as demonstrated ability to develop and lead robust research initiatives for CIL’s Oceans Law and Policy Team. Start dates are flexible
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of scientific findings. He/she will be accountable to the Principal Investigator (PI). The RF / RA will be able to: Conduct quantitative data analysis using SPSS / STATA / R; Lead the development of research
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expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join a dynamic and interdisciplinary team focusing on the development and application of novel statistical