182 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions in United States
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours ago
focused on developing potent CAR Treg based therapies for neurological and hepatic disorders and assessing immune response to gene editing based therapeutics delivered as AAV or LNPs. Postdoctoral Associate
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. Additionally, research support will be required for ongoing tissue-based trials being conducted within the Khasraw lab. Duties include: · Development of a clinical trial protocol of combination therapy
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. Globus develops and provides critical services that support scientific research for governmental, academic, and commercial organizations in a wide range of disciplines including life sciences, physics, and
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will be responsible for development of hardware, software, and analysis for these and future experiments. The term of the appointment will be for up to three years with the possibility of renewal, and is
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an active, leading member of the Neuromuscular Research Laboratory team and work across multiple projects as well as develop their own research projects and grant proposals. Additionally, the candidate will
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on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The applicant’s work will be focused on the development
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strong background in biological sciences who are enthusiastic about contributing to cutting-edge research. The Cao Laboratory utilizes and develops cutting-edge single cell omics, genetic, imaging and
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-month appointment that involves actively engaging with food industry stakeholders, leading the analytical services program at the Whistler Center for Carbohydrate Research, and developing a research
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plans, analysis, and presentation of data as well as other assignments related to scientific development (e.g. writing manuscripts, reviews, and supervising/teaching other fellows). Studies focus
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust