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-microbe-pathogen interactions. -Maintain detailed laboratory records and organize computational work in the cloud. -Write manuscripts and take the lead in publishing scientific data in peer-reviewed
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 14 days ago
will develop detailed lifecycle assessments and technoeconomic analyses of the pyrolysis process and for large-scale end-uses of the co-produced solid carbon. The geologic hydrogen project will develop
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and platinum complexes with long carbon chains. Collect spectroscopic data (NMR, IR, UV/Visible, etc). Collect and interpret crystallographic data, and undertake physical measurements. Participate in
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarker and causal and druggable targets. We are seeking a motivated
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assessments. The CNS Lab is a vibrant team of cognitive neuroscientists, developmental psychologists, and clinical psychologist. The postdoc will process and analyze data, prepare manuscripts, and assist with
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and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research. The role offers exceptional
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
products from the TanDEM-X radar mission, large airborne and field-based LiDAR datasets, and process-based models, as well as other openly available remote sensing and field datasets. The diverse data will
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are conducting several large randomized clinical trials, cohort studies, and surveillance programs, in India, Latin America, and the United States related to nutrition, infectious diseases, and maternal and child
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experience with AI model development, including fine-tuning, applying and evaluating large language models for tasks such as information extraction, summarization, and other biomedical or clinical applications