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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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, including analyzing metagenomic data (e.g., virome) and phylogenomics, statistics, and an interest in infectious disease research. The ability to develop novel computational methods using machine learning
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significant impact on the world around us. A postdoctoral position is available in the Department of Electrical and Computer Engineering at Carnegie Mellon University (Chamanzar Lab) on Ultrasound-assisted
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spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational methods to discover unknown metabolites that have strong associations to experimental
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. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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an official English translation. If you have questions about the application process, contact [email protected] . Connecting with NETL's Core Competencies The Postdoctoral Research Fellowship Program supports
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
research on population coding and Alzheimer’s disease Key research methods: fMRI (including 7T), MEG, virtual reality (VR), a wide variety of cognitive tasks, psychophysics, machine learning, deep neural
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, researchers, and students on foundational machine learning and biologically informed scientific applications. The position is particularly well-suited to candidates eager to apply their technical expertise in
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located at 1100 South Marietta Parkway, Marietta, GA 30060. Job Summary Postdoctoral Researchers support teams of KSU faculty and students (undergraduate and graduate students), which engage with external