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Field
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computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage. Proficiency in materials data analytics, including correlation analysis and machine learning techniques. Preferred
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to daily lab operations. Knowledge, Skills & Abilities: Excellent laboratory and analytical skills and commitment to scientific excellence and innovation. Knowledge of statistics and data analysis and
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data
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analytical techniques Establish relationships between the physical and chemical properties of layered oxide cathodes and their electrochemical performance in both lithium-ion and sodium-ion battery systems
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work within a multidisciplinary team with researchers at MERF and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore
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interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches to characterize microbial community structure and function, working with graduate students
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, and complete research projects. The role includes analyzing data, interpreting results, and writing or contributing to research papers, articles, and other scholarly publications. The Postdoctoral
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(circRNAs) are associated with Alzheimer’s disease status and when measuring in blood can be used as disease biomarkers. We have generated brain and blood transcriptomic data in thousands of samples with
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, big data analytics, and health campaign formative and evaluation research are preferred. Candidates from diverse backgrounds, including those from groups that are underrepresented in health-related
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms