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and quantitative). The postdoctoral researcher will be part of a team undertaking a novel analysis of how artificial intelligence is (re)shaping youth transitions both in Ireland and cross-nationally
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assurance work Experience from hands-on mass spectrometry handling What you will do Being responsible for the maintenance and further development of a quantitative method for the analysis of SCFA in different
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applications for a doctoral researcher/project researcher to work in the ERC-funded NATURETIME project. The doctoral researcher/project researcher position is offered a fixed-term full-time contract for 48
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animal models; (iv) strong statistical and computational analysis skills, including the use of bioinformatics tools or pipelines; and/or (v) experience with analytical platforms such as chromatography and
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Columbia Center for Translational Immunoogy | New York City, New York | United States | about 3 hours ago
transplantation. The research will primarily examine the role of graft-infiltrating immune cells and circulating graft-reactive antibodies in different subtypes of rejection. The project will leverage well
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, in project entitled "Surface-functionalized lipid-based nonlamellar nanoparticles as carriers for peptide antibiotics" financed by NCN. Project leader: dr hab Ewa Nazaruk. People of all genders
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, and address both technical and non-technical (political, behavioral, social) obstacles to building a grid decarbonization. The successful candidate will work with a team of approximately 20 researchers
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-subject research protocols Essential Function Yes Percentage of Time 25 Job Duty AI Model Development and Data Analysis. Coordinate day-to-day project activities, including scheduling data collection
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Ref.: 537148 Work type: Full-time Department: Department of Emergency Medicine, School of Clinical Medicine (22700) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Senior
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or quantitative methods. We are open to a range of methodological backgrounds, including digital trace data analysis, natural language processing, machine learning, experimental design, causal inference, and