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Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
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are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or applied mathematics
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a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method
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-resolution imaging and molecular phenotyping Experience with in vivo electrophysiology in rodents including device buildings, surgical procedures, freely-behaving recording procedures, signal processing and
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 7 days ago
learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data. The fellow will be a part of the NASA Earth eXchange (NEX). Current NEX activities include exploiting
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processing conditions, and minimizing environmental exposure during final application. The assessments are crucial for validating safer alternatives and sustainable process designs. Qualifications
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, mathematical approaches to signal analysis, information theory, structural biology and image processing. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with
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. Application procedure Your complete online application must be submitted no later than 18 July 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given
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experience in image data processing and analysis Familiarity with femtosecond/picosecond lasers and safe alignment practice. Clear, timely communicator who enjoys collaborating across physics, engineering and
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project on a real-time brain-inspired system-on-chip for seizure detection and prediction using EEG signals. We are seeking a motivated postdoctoral researcher to develop high-accuracy algorithms