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electronics wastes. In this effort, the candidate will have a direct impact in informing the U.S. Department of Energy’s approach to e-waste recycling. The second approach involves supporting manufacturers and
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, and control of power systems for safe, adaptive, and resilient autonomous research platforms. Qualifications: Applicants should possess a Bachelor’s degree in Electrical and Electronic Engineering or a
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professional audiences strong planning and organisational skills with the ability to manage competing priorities proficiency in computer applications and research-related systems. Sponsorship / work rights for
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. The researcher is expected to develop autonomous research focused on manufacturing of nanocrystalline ceramics, characterization and particularly high resolution transmission electron microscopy at the cutting
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or similar platforms for version control, code management, and research data archiving. Demonstrated ability to collaborate effectively within interdisciplinary research teams and communicate scientific
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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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department description for applicable certification requirements Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing
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, or academic projects • Experience in writing research code in collaborative settings using languages such as R and Python • Ability to work effectively as part of a multi-disciplinary research team • Strong
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should have the ability to work in a diverse lab group setting, planning and conducting assessments independently and collaboratively, interpreting data, and presenting results to diverse audiences
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skills and experience; strong computer skills including Excel, statistical and/or graphical software (ex. Adobe Illustrator, ImageJ, Powerpoint); excellent organizational and communication skills; ability