932 linked-data-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions at Nature Careers
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Langelandsgade 140, 8000 Aarhus C, and the area of employment is the Department of Chemistry, Aarhus University and related departments. Further information about the position may be obtained from Associate
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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discipline.* Hands-on research experience in flow cytometry, with the ability to generate high-quality experimental data.* Experience contributing to experimental design and data analysis, working
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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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identification. This work will involve the analysis of large-scale, multi-modal datasets, including genomic/multi-omic data (short- and long-read based), imaging and health records, using state-of-the-art data
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: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international
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, and mouse models of disease Computational biology and data science Functional genomics Immunology JAX faculty enjoy distinct advantages including: A diverse and collaborative environment
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, political beliefs, national origin, age (40 or older), sex (see: Sexual Misconduct, Discrimination policy ) sexual orientation, genetic information, gender identity, gender expression, disability, or veteran
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Münster, the CoBIC Frankfurt am Main, the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig and the Johannes Gutenberg University Mainz. RESPONSIBILITIES: Data collection using
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and a fully automated, AI-driven robotics lab, which will facilitate and further accelerate experimentation to generate data suitable for AI approaches. A strong drive to develop and apply massively