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products designed to improve nutrient availability, nutrient-use efficiency, soil fertility, and crop performance under relevant agricultural conditions. As a successful candidate, you will be actively
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persistence mechanisms Develop and optimize assays related to HIV-1 latency reversal and eradication strategies Perform cell culture experiments with mammalian cells, including lentiviral transduction Analyze
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Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in the theoretical foundations of data science and AI
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with the supervisor, with potential avenues including generative models, optimization tasks, or other specific applications. The candidate will work in the context of the project ML-QSIM, a 4-year, 2M
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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performance. The successful candidate will work within a multidisciplinary research environment combining microbiology, fertilizer science, chemistry, biotechnology, soil science, agronomy, and plant nutrition
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optimization methods and/or efficiency analysis (DEA, stochastic frontier, dynamic optimization). Experience with production function estimation, panel data econometrics, and risk analysis. Familiarity with U.S
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chemistry and physics techniques. What you will do You will work in a small team, including one or more PhD students, towards the goal of designing, analyzing and testing novel device structures that exploit
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks Operation of different
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engineer to significantly redesign it and build the next generation of the OpenML platform. Key publication: What you will do Goals and core tasks: Optimize accessibility for all experience levels via