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the forefront of RNA biology, utilizing massively parallel reporters to identify sequence and structural elements that regulate mRNA stability and translation. In this role, the candidate will leverage
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Parallel: Master’s degree in the discipline or subfield in which an individual is teaching, or Master’s degree and a minimum of 18 graduate hours in the discipline or subfield in which an individual is
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documenting their work as well as travel to and present at those events where appropriate. Current projects include: parallel numerical optimization with a focus on GPU acceleration, efficient embedded edge
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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colleagues from the Center for Sustainable proteins, who will be assessing in parallel the protein digestibility, bio accessibility and bioavailability of alternative proteins Key Responsibilities: To carry
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regularly maintained for continuous integration. Optimize HPC Workflows: Collaborate with computational scientists to optimize parallel computing workflows and port research tools to high-end computing
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regulatory bodies. Ability to effectively present information and respond to questions from physicians, staff, and patients. Ability to handle multiple projects in parallel. Ability to prioritize quickly and
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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design next-generation RNA-based therapeutics using massively-parallel reporter assays that maximize the production of functional proteins from linear and circular RNA modalities. Excellent opportunities
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant