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pulse sequences; experience with multi-nuclear pulse sequence development and the Siemens MR IDEA Sequence Development Environment (SDE) are considered assets Experience developing and performing novel MR
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-structuring tool in processed cheese systems. You will design cheese-based and recombined model systems, investigate the influence of various processing technologies and process sequence, and evaluate the
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/ML will then be used to develop predictive relationships between the fundamental properties of the individual proteins: amino acid sequence (e.g., from the Protein Data Bank); extent of digestion
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sequencing data, including sequence quality control and taxonomic profiling where required. Support aptamer discovery and validation experiments, including nucleic acid preparation, amplification, and
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models and content-recommendation policies that estimate a student's evolving knowledge state and sequence lessons, exercises, and hints to maximize long-term learning outcomes, with suitable adaptations
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properties of the individual proteins: amino acid sequence (e.g., from the Protein Data Bank); extent of digestion, production of beneficial metabolites, modulation of the gut microbiota and
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receive payment and will forfeit the scholarship. Conditions Please ensure that you have completed the recommended sequence of subjects in your 3rd year of the BCom in 2026 to enable you to Major in
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, optical couplers, and packaging interfaces using commercial photonic design tools. Perform optical simulations and tolerance analyses to optimize coupling efficiency, bandwidth, alignment tolerance, and
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 15 hours ago
, Pandas, NumPy) Experience with R or other object-oriented programming languages Experience with Linux environments and shell scripting Knowledge of bioinformatics concepts such as sequence alignment
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publications. The successful candidate should have experience in large-scale analyses of protein-RNA interactions. Experience applying deep learning to genomic sequence data, including fine-tuning of