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data We are looking for a candidate with a structured working style and the ability to multitask with attention to detail. You must have a positive mindset and willingness to take on both routine and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
techniques, model validation and analysis, and database construction. PREFERRED: Experience with modeling of plasma dynamics (particularly turbulent transport and pedestal physics); experience with data-driven
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analysis of curated reaction data and will develop reactivity descriptors based on 2D and 3D structures (generated with high throughput DFT calculations) of organic substrates and reagents. You will develop
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Objectives: The participant will develop an understanding of cotton fibers as a textile material through chemical transformations and mechanical construction taking into consideration fiber morphology and
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) emissions from historical use of both wood in construction sector and use of woody biomass in the energy sector in the United States. The successful candidate is expected to author/co‐author publications
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 month ago
assistant 1 position will join our inter-disciplinary program at the Department of Physiology. Our research interest is CFTR and other membrane protein folding, misfolding, structure-traffic relationship and
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Job Description We are seeking a Senior Researcher to join the Babu group. As a part of the Center of Excellence for Data-Driven Discovery in the Department of Structural Biology at St. Jude
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characterization of molecules and chemical reactions as well as development of structure-to-property rules and nonadiabatic dynamics for electrocyclization reactions. The ideal postdoctoral candidate will have
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construction of the next phase of the Project 8 experiment, with a focus on signal acquisition systems using resonant cavities for a large tritium detector; simulations and analysis of Project 8 detector signals
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efficiency and reduce environmental impact. Apply insights from mineral characterization to understand structure-reactivity relationships and guide process optimization. Contribute to data interpretation