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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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of this position is to conduct research regarding the molecular architecture of the HIV virus in the group of Prof. Juan R. Perilla (http://biophysics.chem.udel.edu ). The U.S. National Institutes of Health-funded
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fidelity of implementation of the co-designed intervention and explore mechanisms of impact and contextual factors associated with variation in outcome. Normalisation Process Theory will be used to structure
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to solve biological questions. The following experience will strengthen your application: Experience with molecular biology. Experience with protein structures. Experience with bacterial infections. What you
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, 02-776 Warsaw POSITION: research-didactic Adjunct FIELD: natural sciences SCIENTIFIC DISCIPLINE: biological sciences KEYWORDS: molecular biology, functional omics, molecular network construction
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for the assessment of the collagen content and structure of the human cervix to improve prediction of spontaneous premature birth. You will participate in pilot studies to determine its potential
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hairy surfaces and when actively driving a soft sheet near a wall. Essential to the projects is developing a new understanding of the fluid-structure interactions, that is to say, the coupling between
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago
analyses in clinical trial submissions to the U.S. Food and Drug Administration (FDA). The project focuses on developing a structured framework to guide statistical reviewers in evaluating mediation analyses
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for regenerative construction”, Project number 16820, operation code COMPETE2030-FEDER-00800400, financed by the Innovation and Digital Transition Programme (COMPETE 2030), by Fundação para a Ciência e a Tecnologia