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Field
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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and implement Bayesian graph neural networks and convolutional neural networks as surrogates for high-fidelity biomechanical models Quantify and propagate uncertainty, and develop strategies for model
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grant applications Experimental work will include molecular engineering, protein characterization, and cellular functional validation in engineered T cells. We are looking for a candidate who: Holds a PhD
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/or peer-reviewed journals Required Knowledge, Skills, and Abilities: PhD in Computational Physics, Chemistry, Materials Science, Computer Science/Engineering, Applied Mathematics, or a related field
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other Duke faculty, or faculty at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also
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that has pooled its expertise to tackle fundamental questions in neuroscience – questions such as, "How do neural stem cells choose between self-renewal and differentiation?" "What mechanisms generate
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contributing to computational model development The position is primarily computational and AI-driven, with close interdisciplinary collaboration. Qualifications We are looking for a candidate who: Holds a PhD
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at Rutgers Robert Wood Johnson Medical School is a new systems neuroscience lab studying how neural activity supports planning, decision-making, and memory. Under the direction of the Principal Investigator
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, involving the design, microfabrication and benchtop characterization of neural interfaces for multimodal recording and stimulation of the central and peripheral nervous system. The postdoctoral researcher is
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perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling