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About the role: We are looking for an ambitious senior statistician with experience in clinical trials and an interest or experience in the design and analysis of adaptive trials. You will lead the
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is a two-year experiential program designed to advance lifelong learning and the education and training of Pharm.D. graduates. A key element of the program's success is preparing Fellows to meet
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/sensing applications. Design the quantum sensing prototype for wireless communications/sensing applications. Conduct software simulations and hardware experiments. Document research outcome to publish at
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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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designed to provide advanced training in clinical and translational research, focusing on the understanding and treatment of movement disorders such as Parkinson's disease, essential tremor, dystonia, and
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infrastructure of the United States. The postdoctoral fellow will play a key role in this project with shared responsibility for research design, qualitative instruments design, literature review, and data
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of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep
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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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and radiology images. Designs NLP models, including large language models (LLMs), for analyzing pathology reports and other clinical text. Collaborates with clinical partners to identify and refine real
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interactions is a plus. You can also demonstrate your competence in HCI methods including: user study methodologies, experimental design work, ranging from in-lab to in-the-wild deployments, and qualitative and