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, including intracranial EEG (iEEG/SEEG), local field potentials (LFPs) and single-unit recordings. The position has a strong focus on scientific software development in Python, data engineering and signal
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Bethesda Maryland. Key responsibilities include: • Neuroscience with EEG • Data Science and Artificial Intelligence • Multi-physics and multi-scale simulation using high performance computing
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, networks, and IT infrastructure for clinical and research environemnts Perform data analysis and software development related to EEG, MRI, and other research data Provide advanced technical support for
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techniques Clean, manage, and prepare research data (including electroencephalography (EEG) and magnetic resonance imaging (MRI)) for analysis Assist with algorithm development, optimization, and software
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
analytics techniques Clean, manage, and prepare research data (including electroencephalography (EEG) and magnetic resonance imaging (MRI)) for analysis Assist with algorithm development, optimization, and
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at least one scientific programming language (Python and/or MATLAB). Understanding of electrophysiology and neurophysiology (EEG/SEEG, evoked potentials, stimulation artifacts) and knowledge of applied
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biomechanical signals (e.g., EEG, EMG, ECG, eye tracking, inertial sensors). Programming skills in Python and/or MATLAB; familiarity with machine learning frameworks. Experience in sensor integration, real-time
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, such as pupillometry, sleep EEG, ECG, respiration, wearable and actigraphy data, smartphone-supported assessments and validated questionnaires, together with advanced signal processing, statistical
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experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles and frameworks, in particular, experience conducting usability studies and designing user
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: ● Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG