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biochemistry. Bioinformatics analysis of DNA/RNA sequencing data. Ideally have publications as first author in peer-reviewed journals. 3 years research experience. Strong background in molecular biology.
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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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and industrial partners working in quantum materials and cryogenic SPM Analysis and publication of results, participation in student supervision, and contribution to technology transfer activities
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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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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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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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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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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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significant experience and expertise in air-free synthetic methods (e.g., Schlenk and glovebox techniques), crystal growth and analysis using single-crystal X-ray diffraction, and spectroscopic characterization
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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