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Field
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Range $61,008/year Type of Position Temporary Position Time Status Full-Time Required Education PhD Required Related Experience n/a Required License/Registration/Certification n/a Physical Requirements
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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
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also involve the development and implementation of targeted and higher-throughput drug-discovery screening approaches, including assay optimization, compound testing, quantitative imaging, and validation
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. Design, optimize, troubleshoot, and document experimental protocols while maintaining accurate laboratory records and ensuring scientific rigor and reproducibility. Prepare manuscripts for publication
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multiple watershed-scale models, and use these models to better optimize the location of stormwater control measures or understand how green infrastructure will perform at watershed-scale under climate
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with the world's first exascale system, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate
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for interdisciplinary work. The position is based at the Boston campus and is an in-person, experimental role. MINIMUM QUALIFICATIONS PhD in Physics, Chemistry, Biophysics, or a related field Experience in lab-based
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, and for alloy development and compositional optimization of welding and AM consumables and structural alloys; prepares research results for technical reports to sponsors and for scholarly publications
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. Responsibilities and Essential Duties 1. Design and conduct laboratory- and pilot-scale experiments in hydrometallurgical operation. 2. Develop and optimize unit operations such as physical separation, leaching
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and