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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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-portals and visualizations for complex data Building models and sensors for the estimation of ecosystem carbon exchange in urban and forested environments. Candidates will be expected to contribute
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&M Engineering offers competitive salaries, full benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our
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Mitacs Elevate is a postdoctoral fellowship with an exclusive professional development curriculum component. Fellows address complex challenges through: A two-year research project with a partner
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, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers
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application of large quantities of complex information to improve health, healthcare decision-making, or the wellbeing of citizens. Life sciences applications/startups that do not have an obvious digital health
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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an integrated cancer care network, including clinical trials, immunotherapy, precision medicine, complex surgical procedures, and sophisticated radiation therapy techniques. Rutgers Cancer Institute and Robert