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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Medicine
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analysis, data modeling, and algorithm development. Experience with environmental analysis or microplastic research is a plus but not required. Strong analytical and problem-solving skills, ability
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characterization. Experience with biomass conversion processes and catalytic systems is highly desirable. Familiarity with advanced analytical techniques will be valued. Excellent communication skills (oral and
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at the Rowland Institute at Harvard. Our research pursuits are primarily in the analytical/physical chemistry field and strongly interdisciplinary. Specifically, our star technique is scanning electrochemical cell
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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optimising in a wide range of ML tools on microbiome, epigenome and transcriptome data is required. The appointee will be part of an interdisciplinary team of scientists and will work in the School
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include, but are not limited to the following: 1) Conducting laboratory, greenhouse, and field experiments on manure mineralization; 2) operation of analytical instruments such as ICP-AES, Ion
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to their high surface area, tunable porosity, and chemical versatility. These properties make them excellent candidates for detecting various analytes in liquid media, including heavy metals, organic pollutants
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analytical and quantitative skills (e.g., statistics, bioinformatics). Clear communication skills, both oral and written. Ability to collaborate effectively with researchers, students, and engage with a range
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and keeping detailed laboratory books. Record and document the collected data and perform analyses by employing provided analytical tools. Prepare manuscripts for publication. Contribute to decisions