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platforms and field validation. Key Responsibilities Develop advanced methods in robust and adaptive control , state estimation , and motion planning Design and implement control and perception algorithms for
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to retrieve sediment cores for analysis, and to conduct vegetation surveys and modern pollen sampling to enable estimation of Relative Pollen Productivity (RPP) for Greek taxa. You will lead
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carbon accounting. The main responsibilities of the position include: Lead the integration of multi-source datasets and contribute to the development of scalable forest carbon estimation approaches for
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inflammation is highly advantageous. Responsibilities* Design and perform multi-parameter flow cytometric analyses to identify, characterize, and quantify rare immune cell populations (e.g., mucosal
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 3 hours ago
the topic of machine learning-based ocean state estimation to begin in Spring/Summer 2026. The successful applicant will develop and implement data-driven tools, underpinned by scientific machine
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opportunities. Prior experience with tissue culture, animal models, high-parameter flow cytometry, spatial transcriptomics or proteomics, and cell gene engineering techniques is desired, but not required. This
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analysis of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong
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The Economics Programme in NTU’s School of Social Sciences seeks a Research Fellow. The research develops reliable instrumental variable (IV) estimation/inference method and machine learning
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, employing expertise in statistical estimation, geospatial and environmental modeling, machine learning, and sensor phenomenology. Develop multi-source data fusion algorithms to improve detection, correlation
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approaches including multi-parameter flow cytometry, cell sorting, mouse models, molecular biology techniques, and immune profiling assays. · Analyze and interpret complex datasets, including