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, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
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Qualifications Interest in the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired
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electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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Galison (BHEX Science Teams Lead), and will be embedded within the interdisciplinary research environment of the Black Hole Initiative. The successful candidate will have the opportunity to interact and
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command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
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prompt engineering, embeddings, retrieval-augmented generation (RAG), agent or tool-based workflows, or application-level architectures. Ability to work collaboratively across disciplines and communicate
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prompt engineering, embeddings, retrieval-augmented generation (RAG), agent or tool-based workflows, or application-level architectures. Ability to work collaboratively across disciplines and communicate
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strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation