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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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analytical and writing skills. Additional Information: Location: Comprehensive Cancer Center (0363) Position Type: Term (Fixed Term) Scheduled Hours: 40 Shift: First Shift Final candidates are subject to
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for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition
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of quantum computers, and resource theory for quantum computation. They will carry theoretical studies using both analytical and numerical tools, in these subject areas. They will also interact with
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and attention to detail; Proven technical and analytical skills; Ability to troubleshoot an experiment as necessary. Proficiency with a computer; Knowledge of math and statistics, experience with PRISM
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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quantitative experience in various types of analytic techniques appropriate for longitudinal data. Experience writing academic manuscripts and preparing a grant application is also preferred. Applicants
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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Job Description This position requires expertise in laboratory research, bioactive compound analysis using advanced analytical instruments, and biotic and abiotic stress in agriculture. The role
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a curious and motivated post-doctoral researcher to join our research lab at the Rowland Institute at Harvard. Our research pursuits are primarily in the analytical/physical chemistry field and