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applications, (2) design and architecture of integrated, hybrid, atomistic simulation software packages (e.g., LAMMPS) and DL models, and (3) documentation, verification and validation, and software quality
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. Preferred knowledge, skills and abilities: Knowledge of plant physiology, lighting systems (e.g., LEDs), irrigation, or nutrient management in controlled environments. Proficiency in data analysis software
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expertise with software such as CLC Genomics, Blast2GO, SnapGene, and Smartsheet, or similar software. Ability to code Flexibility in developing or adapting new workflows All positions are security-sensitive
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to utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform other computer related tasks, such as Microsoft Office. Preferred Special Knowledge
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maintaining equipment and software, IRB application, sensory evaluation, and other tasks. • Attend scientific conferences, workshops, and share research results through publications, posters, and
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development techniques (numerical methods, solution algorithms, programming models, and software) at scale (large processor/node counts). Experience with use of artificial intelligence and machine learning in
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Laboratory (ORNL). Major Duties/Responsibilities: Develop models and software for the design and optimization of sensor networks in complex systems, such as water treatment systems Develop physics-based and
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. Excellent communication and presentation skills. Strong interpersonal and organizational skills. Working knowledge of office software and instructional programs. Skilled in utilizing various learning and
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design and testing and chassis to system design; The FPGA gateware design and verification for qubit control signal processing on different FPGA chips; The low-level software driver and API development
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design; The FPGA gateware design and verification for qubit control signal processing on different FPGA chips; The low-level software driver and API development. Demonstrated programming experience in