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Field
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its potential contribution to savings based on its contribution to clinical and public health decision making. Additionally, this work will require generating estimates of demand for genomics across
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analytical chemistry methods (HPLC and LCMS). The mission of the Thomas J. Long School of Pharmacy (the School) is to prepare students for lifelong success in health careers by providing an excellent, student
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of an undergraduate degree in a related field. Training in causal inference and/or machine learning methods Effective oral and written communication skills Outstanding academic credentials and intellectual creativity
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Number: 6380165 University of California Irvine Postdoctoral Scholar - Della Martin Fellowship Position overview Salary range: A reasonable estimate for this position is $66,737-$80,034. See Table
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by using explainable AI To develop generative AI techniques to design novel biologics for cancer Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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from the traditional chemicals industry to pharmaceuticals and personal care products. About this Modelling Role This post-doctoral role seeks to advance the systems modelling methods of microbial cells
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and develop an optimal (efficient, cost effective, easy to use) technological operational method for detecting and estimating wallaby populations and dynamics. What you’ll do: Develop a technological
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 22 hours ago
AI methods. Candidates’ will be working on projects at the forefront of one of the six research areas of: Biology/Bioengineering, Brain and Cognitive Sciences, Chemistry/Chemical Engineering, Materials
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, with opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised