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seeking a highly motivated Postdoctoral Research Associate to support collaborative and independent research focused on metabolomics and small molecule analysis using advanced mass spectrometry technologies
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with skills in quantitative analysis and an interest in political theory, or in applied philosophy with proficiency in quantitative data analysis, will be given priority. An interest in developing
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, select, and apply standard techniques of routine research. Keep detailed records of data. Use computers and laboratory or technical equipment to perform data analysis, statistical analysis, and technical
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, an understanding of computational data analysis is highly encouraged and supported. Research activities may include: Culture and maintenance of mammalian cancer cell lines and our established pre-clinical platform
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 18 days ago
research related to the current research topics of the department, based on the analysis of SO/PHI data Your qualification PhD (or soon to be expected PhD) in solar physics or a closely related field
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 8 hours ago
cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to effectively
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of clinical outcomes, and meta-analysis methodology. These efforts are expected to result in collaborative and methodological publications in high-quality, peer-reviewed journals. Minimum Requirements Doctoral
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. Develop and carry out proteomics experiments, including sample preparation, quality control, and analysis in collaboration with relevant research facilities. Integrate molecular, physiological, and
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spectrometry-based proteomics, including data deposition and retrieval through the PRIDE (Proteomics Identifications) database, and in bioinformatic data analysis, including pathway and ontology enrichment (ORA
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techniques. ● Proficiency in instrument control, data acquisition, and data analysis using tools such as LabView, Python or MATLAB. ● A record of peer-reviewed publications and demonstrated ability