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evaluation with BER/throughput/bandwidth constraints). Demonstrated experience implementing research software (Python; and/or C/C++) and running simulation studies. Familiarity with modern machine learning
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of machine learning techniques, programming and coding for data analysis, biomarker discovery, and collaboration with clinicians and students. Additionally, the candidate will be responsible for grant writing
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Devices (including applications to Health), Electrical Engineering Systems (including Communications, Information Theory, Machine Learning), and Computer Engineering (including Embedded Systems, Security
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/PhD degree with a focus on Metabolism, Mouse Models systems, Human stem cell systems, Biochemical and Molecular Tools, Epigenetics, Genetics, Genomics, Biology, Bioinformatics, Machine Learning, or a
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migraine and other headache disorders, neuroepidemiology, and other neurodegenerative disorders. We use advanced biostatistical modeling, artificial intelligence (AI), machine learning, and neuroinformatics