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separation systems, adsorption modeling, and data analysis. Hands-on experience in adsorbent material structuring/shaping (e.g., extrusion, pelletization, electrospinning) is highly desirable. Proficiency in
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; - strong data analysis and interpretation skills; - the ability to work effectively in a multidisciplinary team environment; - good scientific communication skills; - strong scientific writing skills in
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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following areas is desirable: collection and analysis of dense nodal seismic datasets, ambient noise tomography, high-performance computing, machine learning applications in observational seismology, and
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: a continental data synthesis and meta-analysis” is available at CCARBON, a Research, Innovation and Dissemination Center (RIDC) supported by FAPESP and hosted by the University of São Paulo's Luiz de
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indoor air quality, aerosol science, exposure science, and healthy buildings. Projects may combine controlled laboratory experiments, measurements in real-world buildings, data analysis, and modeling
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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research and desk-based responsibilities for study design and management, data analysis and dissemination. You will have experience of conducting experimental psychology research with human participants
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 28 days ago
radiological emergency response. This position is within the Biophysical Metrology and Inference program at NIST, which develops measurement approaches, physical models, and data-analysis methods that connect