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Postdoctoral and PhD Positions in Neurotechnology: Drug/Biologics Carrier Formulation & Chemical Engineering for Focused Ultrasound-Mediated Brain Drug Delivery The Neurotechnology Group of Prof. Mehmet Fatih
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of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies
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, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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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
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using immunohistochemistry, confocal imaging, whole-cell patch-clamp electrophysiology, and mouse tissue processing to investigate how neural circuits, synaptic physiology, and neuroinflammatory pathways
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related technologies can support explanation in situated conversational settings. We view explanation not as a static output, but as an interactive process that evolves through human-human and human-AI
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Role: Postdoctoral Research Associate in Quantum Light Source Development Grade and Salary: Grade 7 Spine Point 28 (£37,694) per annum FTE and working pattern: Full Time (1FTE, 35hrs per week
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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