147 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" Fellowship research jobs at National University of Singapore
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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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manuscripts. Contribute substantially to grant development, particularly NMRC and other national or international funding schemes, through study design, analytics planning, and generation of compelling
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research experience, as well as a demonstrated capability to achieve research excellence and develop research programmes and funding proposals, through in-depth knowledge, skills and expertise. Requirements
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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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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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for the position of Research Fellow to join our team and contribute to our research in advanced 2D TMDC material. As a Research Fellow, you will contribute to the development, integration, and characterization of 2D
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and development of next-generation pipeline inspection and repair robotic systems, covering mechanical design innovation, perception and navigation capabilities, and AI-driven defect detection
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dedicated scientific and technical support for the development of advanced AI methods and foundation models in computational biology, ensuring the timely execution of funded research projects and the
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activities which include: Design, implement, and evaluate research studies in palliative and end-of-life care Conduct data analysis (quantitative, qualitative, or mixed methods) and prepare manuscripts
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interventions. The programme draws on a richly phenotyped biorepository of stroke patient samples, comprehensively profiled by whole-exome sequencing, RNA-seq, and proteomics, with clinical outcomes tracked over