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implementation test capabilities supporting high temperature superconducting magnet development in extreme environments for high field applications of interested to ORNL across different directorates
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for the manufacturing of next generation materials for different potential market applications to evaluate the life cycle economic, energy, and environmental impacts. The focus of these analyses is to understand
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photosynthesis. Major Duties/Responsibilities: Compile and organize diverse multiscale datasets from plant genomics to phenomics. Develop and test different tokenization and embedding strategies for multimodal
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science highlights and abstracts from different sources, categorizing them by topical area and working with web staff to incorporate them into a public database. Establish, in consultation with BER staff
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systems. Expertise with batch schedulers (SLURM, PBS, LSF) and parallel file systems (Lustre, GPFS/Spectrum Scale). Proven ability to lead technical projects from concept through implementation, balancing
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: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years
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and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated
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and BoEs of multiple systems. Experience in authorized data transfers across multiple systems and different classifications. Desired Skills: Relevant ISSO / ISSE experience within the DoD
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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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, declassification, and classified subject areas: Bachelor’s degree plus 12 years of relevant experience, or Master’s degree plus 10 years relevant experience, or PhD plus 7 years relevant experience The applicant