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strategy (PMIDs: 29123070, 33621493, 33087936, 30566856, 39947938; doi: https://doi.org/10.1101/2025.03.15.641049 ). Postdoctoral Projects Project 1: Replisome Dynamics, Replication Stress, and Cancer
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behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with strong analytic and quantitative skills
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at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with a solid understanding of color vision and strong analytic and quantitative skills
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collaborative, analytical mindset and the ability to synthesize complex information across experimental and theoretical domains. Interest in how ML/AI driven data science can accelerate discovery in materials
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inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation and maintenance prediction and integrate analytics
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(SAR) and antibacterial drug design. Hands-on experience with purification and analytical techniques. Starting date: 1 March 2026 or soon thereafter. The position is for 12 months but could be extended
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, 33621493, 33087936, 30566856, 39947938; doi: https://doi.org/10.1101/2025.03.15.641049 ). Postdoctoral Projects Project 1: Replisome Dynamics, Replication Stress, and Cancer Vulnerabilities This project aims
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or women’s health. The applicant must be fluent in English (written and spoken) and have experience with large-scale health data and epidemiological or related analytical approaches and methodology. Experience
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analytics including HPLC and/or LC/GC-MS Protein expression, purification and characterization using biochemical and biophysical assays Variant identification using next generation sequencing (e.g., Nanopore