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Field
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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate
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the university and with industry to translate discoveries into clinical proof of concept studies. Working with a team led by Drs. H. Kim Lyerly, Zachary Hartman and Josh Snyder, this program spans basic discovery
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by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Data Science
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Resilience Institute. We seek a talented and highly organized scientist to support and advance multiple collaborative projects that integrate high-throughput phenotyping, advanced imaging, quantitative
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cytometry assays is required · Experience of independent operation of a high-speed cell sorter is required · Experience of managing staff is required · Strong communication skills (verbal and written
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. For tenure-track (Assistant Professor) candidates: the ability to establish and maintain an independent, extramurally funded research program and a record of scholarly productivity as evidenced by high-quality
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to establish and maintain an independent, extramurally funded research program and a record of scholarly productivity as evidenced by high-quality, peer-reviewed publications. For Associate Professor and
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for timing applications in a joint project with industrial partners. The Project Timing devices are at the core of nearly all modern electronic systems, from smartphones to high-speed communication and sensing
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
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bioinformatics programming and high-performance computing environments, including Python, R, Linux-based workflows, and HPC/cloud platforms for reproducible pipeline development. Evidence of strong scholarly