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Field
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the development of custom algorithms for image or data processing, workflow automation and the interpretation of large volumes of information from optical, thermal or flow measurement systems. Participation in
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audiovisual corpus analysis tools - Interest in visual approaches to political processes - Ability to integrate into collective and multidisciplinary research teams Website for additional job details https
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month postdoctoral contract to work in a multidisciplinary research project that combines photonics, neuroscience, molecular biology, in vitro and in vivo calcium imaging. The hosting group is led by Dr
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A full-time position as research assistant or postdoc (37 hours/week) is vacant across the Center for Integrated Multi-omics in Precision Medicine (CIMP) and the Danish Spatial Imaging Consortium
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studies, imaging techniques, biochemistry, gene expression analysis, experimental data analysis including multi-omics analyses, and the interpretation of statistical results. They will prepare integrated
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and expertise in brain imaging (MRI), image processing and machine learning. Coordinating projects within the research group, supervising students and writing applications are also included in the role
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lab. In addition, you will assist in training new researchers within the research group. You will provide support in processing data generated from 3D motion capture techniques and medical imaging. You
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the European framework) Know-how: Confirmed experience in stereotaxic surgery in mice Practice of behavioral analyses Ability to develop data analysis scripts Ability to design, prototype and integrate
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state and federal agencies. The appointment is for one year with the possibility of renewal based on performance. Key Responsibilities Lead research and development of a prototype community readiness
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale