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will lead research in the development and application of within-host mathematical models to understand the long-term dynamics of natural- and vaccine-induced immunity to pathogens. You will be
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. This position focuses on the development and application of large language models (LLMs) for advancing food informatics, food bioactives research, and sustainable food innovation. The selected fellow
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, and publishing research articles in alignment with the grant objectives Coordinate with external collaborators on project development Document, collate, analyse and interpret data Carry out procurement
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team
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, and publishing research articles in alignment with the grant objectives Coordinate with external collaborators on project development Document, collate, analyse and interpret data Carry out procurement
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chance to co-write grants with PI and stand a chance to win career development grants. Excellent communication and presentation skills and prior experience with manuscript writing and publishing in peer
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Description We are looking for a passionate and self-motivated postdoctoral research fellow to join our multidisciplinary team working on the development of novel synthetic and bio-based polymers and composite
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ethical and security standards. Concept and Algorithm Development: Innovate in data science, machine learning, and AI. Data Analysis and Reporting: Contribute to data analysis, reporting, and publication
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or related field At least one years of relevant experiences in technical hands-on experience in development of disease transmission models Good written and oral communication skills Proficiency in Python/R A
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will be for a period of 2 years at the first instance, with the possibility of renewal Since April 2015, SSR has been creating change through impactful social service research and capability development