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for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or
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ISAC channel modeling methodologies tailored to the lab’s hardware/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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documentation. Facilitating smooth operation of hardware and software on computing systems. Play a central role in support of departmental computing systems; supporting installation, testing, maintenance
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collaboration with Profs Carlos Fernandez-Granda, Joan Bruna, Laure Zanna, the successful candidate will focus on developing methods to capture and understand generalization in AI emulators, in particular
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relevant qualitative analysis software, such as NVivo, and analytical coding methods. Experience with Tableau or other visualization tools. Ability to creatively solve problems. Ability to conduct surveys
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their appointment. PhD in Nutritional Studies, Nutritional Epidemiology, Public Health, or a related field. Strong background in research methods, including intervention studies and/or clinical trials. Experience
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, aligned to different users’ values, must coordinate, negotiate, and resolve conflicts, and designing and testing methods for aligning individual AI agents to user values in ways that reflect how humans
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informally or formally within higher education. Experience with teaching and learning technologies, and/or digital video/audio production software. Excellent communication and interpersonal skills. Self
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coordination of other politics courses There are no formal research expectations in this role, but selected candidates are expected to engage in the intellectual life at NYU London and Global Programs Advise