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- Executing experimental designs Data Analysis and Presentation/Writing/Publication (20%) - Recording and annotating datasets - Interpreting results to draw conclusions and design subsequent experiments
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questions, implementing data analysis best practices, analyzing data, communicating research findings with project partners, engaging with field partners, and drafting manuscripts. S/he will work closely with
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medical research needs Solid background in causal inference and survival analysis Experience with clinical trial research, machine learning, and high-dimensional statistics (desirable but not required
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have hold a doctorate n environmental science or engineering or the equivalent and have expertise in the area of surface characterization and chemical analysis of nanoparticulate phases. In particular
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or grant applications. Required Expertise and Technical Skills - Strong background in single-cell data generation, spatial profiling, and advanced data analysis. - Experience in developing novel assays and
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applications for postdoctoral positions in the area of cosmology (experimental, observational and theoretical) and new techniques in statistical and image analysis. The cosmology group is composed of Profs. Arun
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novel statistical methods motivated by medical research needs Solid background in causal inference and survival analysis Experience with clinical trial research, machine learning, and high-dimensional
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experimental skills in convective heat transfer analysis applied to phase change processes preferably induced by long-pulsed NIR laser irradiation. Experience in cavitation monitoring and damage assessment will
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contribute to stakeholder reports. Responsibilities will include qualitative data collection, quantitative and qualitative analysis, and writing. It will also involve developing research protocols, participant
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lab (Department of Pediatrics) at Duke University are seeking a Postdoctoral scientist to work in the field of computational analysis of single cell multiome and CRISPR epigenome editing screen