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molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling Strong written and oral communication skills
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for simulation experiments and analyzing genomic sequencing data; (2), designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and
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biomedical imaging methods, with particular emphasis on optical, ultrasound, and photoacoustic technologies. Working under the supervision of Dr. Ying Jiang, the candidate will contribute to the development
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biomedical imaging methods, with particular emphasis on optical, ultrasound, and photoacoustic technologies. Working under the supervision of Dr. Ying Jiang, the candidate will contribute to the development
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applications for a Postdoctoral Fellow to join the Human Evolutionary and Statistical Genetics (HESG) Lab. The HESG Lab develops statistical and computational methods to understand human population history and
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methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
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. Preferred Qualifications: The preferred candidate will have experience in all modern microbiological methods, and a strong interest in learning recombinant protein purification and associated biochemical
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Location Bloomington Position Summary The IU experimental nuclear physics group has an active program addressing fundamental questions in nuclear physics, particle physics, and astrophysics/cosmology. Group
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for spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will
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standard molecular cloning methods · Mammalian Cell culture · Genome editing · Fluorescence Microscopy · Teamwork skill · Proficiency in written and oral communication Department Contact for Questions