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develop the next generation of leaders in MLTC research through identifying and developing highly skilled clinical practitioners into researchers who understand and use multidisciplinary research to answer
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for own use and to support analysis by biologist colleagues without formal computational training. · Work with members of collaborating groups to select and prepare datasets for use in modelling
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aging and aging-associated diseases. We use a combination of models (e.g. C. elegans, mouse, iPSCs) and techniques (e.g. gene editing, nanobody generation, small molecule screens) to identify, assess, and
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the program for a period of one year, with a second year contingent on funding, and will be paired with a primary mentor at Harvard. Training emphases include the organization, financing, utilization, quality
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genomics with advanced computational and AI approaches to develop biologically interpretable clinical models. The study has two complementary aims: Multi-omics discovery in solid tumors - Discover disease
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Ability to develop and/or contribute to open-source software projects Ability to work both independently and collaboratively Ability to do original research in astrophysics Ability to present research and
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Apply Now How to Apply Materials and questions should be sent by email to [email protected]. Please use the subject line "Fellowship Application." Please submit: A written statement
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and delivered in collaboration with Ionic Technologies. The project will develop innovative, hydrogen fluoride-free routes for converting recycled rare earth oxide feedstocks into rare earth fluorides
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Practice). Medical applicants must be doctors in training (holding a National Training Number and be eligible for higher clinical training where relevant for their specialty) or be General Practitioners who
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-reviewed journal. Conditions of Employment: Candidates must be able to work with human biospecimens and other potentially biohazardous research materials. Preferred Qualifications: Graduate training in a