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Field
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activities, and reporting. The incumbent will handle the ordering and distributing of project materials, schedule, plan, and lead weekly project planning meetings and other meetings as assigned. The incumbent
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, distributed control, formation control, perception, and decision-making in complex environments. Design and implement data-driven approaches, including machine learning, reinforcement learning, surrogate models
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to federal research proposals, sponsored research applications, and collaborative project reports. Familiarity with scalable computing environments, cloud platforms, high-performance computing, distributed AI
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distribution: 50%: Laboratory work involving modern polymer characterization. Maintaining lab equipment. Manifest chemical waste. Troubleshoot instrumentation. Work with undergraduate, graduate, and postdoctoral
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scientific domains. Preferred Experience: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling
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efforts across scientific systems. Develop and apply federated learning on distributed and heterogenous datasets. Develop more efficient and resilient DP techniques that minimize performance loss while
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of reaction pathways, residence-time distributions, heat and mass transfer, and particle or catalyst evolution. Establish quantitative mass, carbon, and energy balances across the reactor system. Relate reactor
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Yeshiva University to enhance teaching Experience & Educational Background: Ph.D. in Computer Science, focused on Artificial Intelligence or Distributed Systems Candidates in Cybersecurity, Data Management
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. Design and implement distributed and parallel approaches that efficiently leverage large-scale computing resources, including heterogeneous CPU/GPU systems, along with the possibility of working with
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research