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Details Title Postdoctoral Research Fellow, Microbiome Analysis Core School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description The Harvard T.H. Chan School
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, single-atom catalysts), analytical instrumentation (including electronics and LabVIEW FPGA programming), finite element modelling using COMSOL Multiphysics, and in-situ/operando spectroscopy, among other
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metal-organic frameworks, 2D/hierarchical structures, nanoparticles, single-atom catalysts), analytical instrumentation (including electronics and LabVIEW FPGA programming), finite element modelling using
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applications related to infectious diseases research, as well as strong collaborative research records, including leadership in innovation in the design and analysis of clinical trials, observational and
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systems. IDI’s work spans the AI data ecosystem—from digitization, data structuring, and metadata synthesis, to safety and security analysis, all the way through to benchmarking and the development
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collaboration with the Principal Investigators. More specifically, the individual will: · Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; · Create data
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for peer reviewed social science journals. Candidates should have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables
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work spans the AI data ecosystem—from digitization, data structuring, and metadata synthesis, to safety and security analysis, all the way through to benchmarking and the development of ethical and
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experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be: highly motivated with a record of high scientific productivity, possess
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sector of the economy and a critical factor in determining overall housing quality and affordability. Investment in the existing housing stock is also of significant policy interest given the need