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Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance computing clusters Sahu Lab Dr
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A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources and open-source datasets. Opportunities to co-supervise
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. Hands-on experience with high-content imaging instruments and techniques. Key responsibilities Design and perform in vitro, ex vivo and in vivo immunological assays (ELISA, ELISpot, flow cytometry
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1, 2026 (or as soon as possible thereafter) for 12 months initially, with the possibility of extension up to three years based on performance. The successful candidate will investigate gene regulatory
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regulation, or aging biology Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance
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, or climate data is advantageous but not required. What We Offer A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources
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, traceable to ISO 7218 standard to enable quantification of process performance and to aid oils sales. The first postdoc will work on a variety of oil upgrading strategies, including hydrotreatment
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of the chemicals on droplet stability. You will be responsible for the following: Implementing AI imaging to analyze high-speed droplet movies. Relating the results to the HLD principle and performing its parameter