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Responsibilities Develop and implement Python‑based AI/ML models (e.g. LSTM or time‑series models) to predict long‑term properties of bioactive materials. Conduct independent testing on restorative and bioactive
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, specification and time. Job Responsibilities: Work with internal team members, interfacing teams, partners and suppliers to ensure technical requirements are understood as required Develop Design of experiments
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clinical needs through the development of innovative disruptive health technologies and bring them from the bench to the bedside, thus benefitting patients and society. We are seeking a Research Fellow with
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This position will report directly to Senior Health Economists in the Health Economics Lab and offers an excellent opportunity to develop and refine in demand skills in applied health economics and to be co
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also work closely with the Principal Investigators to help supervise and train junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity
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use of Special Collections materials; develop basic user/staff guidance and support training. • Familiarity with user engagement and learning resource development tools (e.g., LibGuides or equivalent
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Key Phenotypic Definition and Evaluation, including molecular and biochemical bioassays Characterization of Genetic Control Cultivar and Lines Development Integration of Genomic Data into Cultivation
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develop an in-depth understanding of the underlying physics of electromagnetic scattering and diffraction from large and complex object in practical environment; investigate and develop techniques
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applications for the position of Research Assistant. Key Responsibilities: Study and analyze dataflow patterns in emerging data-intensive applications. Design and develop parallel file systems for node-local
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and optimize multimodal LLM/MLLMs for downstream tasks (adaptation