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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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decoding in real-world and virtual reality environments. Key Responsibilities: · Design and implement experiments studying memory and navigation, integrating intracranial recordings, wearable sensor data
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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. Lead a research project on tissue morphogenesis using zebrafish as a model system. Design and conduct experiments by implementing all the necessary step for data generation. Perform data analysis and
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centralized proteomics data portal; design and perform computational analyses on the mass spectrometry data generated in on-going and planned proteomic experiments in the lab; maintain subspecialty expertise
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Epic Cosmos · Performing encounter to subject-level conversions · Data cleaning including harmonizing units, renaming variables, providing a preliminary assessment of the pattern and scope of missing
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experience include: • Experience with epidemiologic study design and implementation, particularly involving cohort studies or large-scale datasets, is highly desirable. • Experience in managing human subjects
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, predictive assembly of complex microbial communities, and programming of self-organized pattern formation in engineered bacteria. Duke is an Equal Opportunity Employer committed to providing employment
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, and to interact regularly with Dr. Jonathan Campbell to design and execute experimental studies involving animal and cell-based models of metabolic disease. In addition, will also perform the following
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protocols and equipment. · Design, execute and document experiments with sufficient detail to understand and repeat by other lab members. · Update lab members on new developments in commercial reagents and