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microscopy. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master
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Monday - Friday, 8 a.m. - 5 p.m. Summary A Postdoctoral Associate position is available in the Division of Vascular Surgery’s Vascular Intelligence for Translational AI & Learning (VITAL) Lab
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unresolved question in colorectal cancer biology: what molecular and immune mechanisms allow a benign or premalignant colorectal adenoma to acquire malignant properties and progress toward invasive cancer? Our
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biology to tackle global biosustainability challenges. Learn more about our cutting-edge gas fermentation facility and platforms from: Valgepea et al. 2017, Cell Systems ; de Lima et al. 2022 Front Bioeng
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, supervise junior researchers and students, and contribute to teaching activities in AI and data science for medicine Your Profile PhD in Artificial Intelligence, Computer Science, Data Science, Computational
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: Experimental research - 90% Writing papers - 10% Required Qualifications: Skills in molecular biology experiments, cloning, and gene editing, ribosome purification Qualifications Required Qualifications: PhD
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 15 days ago
Behavioral Ecology Research Group ” is an international research group led by Prof. Dr. Barbara Fruth. At the moment, our group consists of two senior researchers, one postdoc, three PhD students, several
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research activities across disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics engineering. To learn more about the School click here We
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engineering. To learn more about the School click here We are currently seeking a Postdoctoral Research Associate in Additive Manufacturing and Advanced Materials Characterisation to join a highly collaborative
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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled