17 finite-element-analysis Postdoctoral positions at Cornell University in computer-science
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] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop open data and computational
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measurements (e.g., release kinetics, seed vigor) – 20% Data analysis, interpretation, and manuscript/report preparation – 15% Coordination of research activities and mentoring of undergraduate assistants – 10
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the plastic crisis, carbon revalorization, critical metal recovery, and circular bioeconomy approaches on Earth and in space. We are looking for an experienced scientist in bioengineering, molecular biology
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tube of blood. The successful candidate will lead the development of new computational and AI-driven concepts for cfRNA analysis, working at the interface of wet lab, dry lab, and the clinic. We
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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, focusing on: Development of novel approaches to synthetic storm generation Implementation of counterfactual analysis for historical storms Integration of climate pattern effects (e.g., ENSO) into risk models
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or neuromorphic computing, or mixed-signal microsystems. Strong experimental skills in device characterization, electrical measurements, data analysis, and troubleshooting. A Ph.D. in Electrical Engineering
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or neuromorphic computing, or mixed-signal microsystems. Strong experimental skills in device characterization, electrical measurements, data analysis, and troubleshooting. A Ph.D. in Electrical Engineering
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research, including data collection analysis, and interpretation preferred. Strong oral and written communication skills. Ability to work independently and collaboratively within a research team. Application
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producers. Anticipated Division of Time Research 50% Data analysis 40% Writing 10% Requirements Ph.D. in Animal Science, Dairy Nutrition, Feed Science, or a related field. Strong background in ruminant