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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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of clinical trial outcomes (e.g. doi: 10.1038/s41467-024-53065-z). Given the uncertainty associated with intervention outcomes, we also aim to explore adaptive trial designs to enable studies to start small and
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architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models
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looking at the design and analysis of randomised trials of interventions to reduce the risk of vector-borne diseases (e.g. malaria and dengue). The Project offers an interdisciplinary opportunity to work in
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appointee will work with Professors Sarah Cooper and Raluca Bunduchi from the School’s Entrepreneurship and Innovation Group, and with colleagues involved in running the Doctoral Training Centre in the School
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and immunogenomics, and cancer-specific bioinformatics. Develop skills in study design, data interpretation, presentation, and manuscript writing. Develop skills in networking, career planning, teaching
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for the design and development of peptide-based nanocarriers for the controlled and targeted delivery on anti-inflammatory and anti-bacterial therapeutics upon injection of the hydrogel. The Research Fellow will
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this research at the forefront of innovation. The project involves a multidisciplinary team with researchers from the Optoelectronics Research Centre and School of Engineering (Prof Chris Holmes and Dr Pier Sazio
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 9 days ago
on reliability in field data collection. Practice in mapping software evaluation: assisting in the design and execution of testing procedures to gain experience in assessing system stability and module performance
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analytical tools including FTIR and Raman spectroscopy. You will help design and implement experimental protocols, analyse complex datasets using AI tools, and contribute to the preparation of funding