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will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
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. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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to groundwater and environmental systems Developing and applying imaging and analytical methods for studying transport and adsorption processes at the pore scale Designing and conducting controlled laboratory
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Health Equity Research Center, staff from the Electrophysiology Core, and the Department of Biological Sciences to plan, develop and carry out a research program in the molecular basis of neurodegenerative
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cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next generation of scientists and build a workforce equipped with
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:00 AM UnitedKingdomTime, listed until 2026/08/01 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description WORK PERFORMING: The postdoctoral researcher will develop scalable design
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research and teaching in the fields of marine evolutionary genomics and climate change adaptation. University-internal structures and programs, such as the Vienna Doctoral School of Ecology & Evolution
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key