36 scholarship-phd-agent-based-modelling Postdoctoral positions at Northeastern University
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supervision of PI Calina Copos and will engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based
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Boston Campus. The Clostridia are a diverse group of anaerobic bacteria that range from agents of human disease to industrial microbes used for renewable production of biofuels and biochemicals. Despite
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for publication ● Pursuing independent research projects in conjunction with the focus of the labs Qualifications ● PhD in a field falling within the social, behavioral, cognitive, and/or environmental sciences
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-learning based exoskeleton controllers to work across tasks Designing and validating new robotic lower-limb prostheses Exploring other high-risk high-reward research areas related to device design, control
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, specifically yoga, on physical and mental health. The anticipated start of this position is Summer 2025, with yearly renewals based upon funding and performance. This position will be based in the Exercise
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on various theoretical aspects of molecular magnets, oxide coating materials for the LIGO scientific collaboration, and other quantum materials, and their modeling and simulation. Projects will include
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foundation in at least a few of the following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable materials, micro
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve surveillance, prevention, and control of infectious
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) to reach larger and traditionally underserved/understudied populations. We aim to understand cognitive diversity (broadly defined), to create tools to measure function and to implement training based upon