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correlated with plant traits such as yield and stress resilience Collaborate with sensor teams, plant scientists, and data engineers to develop robust, reproducible data workflows Contribute to the development
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Research Associate with background in irrigation, loT, and sensors to conduct research on developing an innovative irrigation management technology for field crops and specialty crops. The primary duties
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driven, dissipative or strongly disordered quantum systems, quantum algorithms and sensing protocols, quantum error correction, quantum error correction, neural quantum states, and the classical simulation
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, mathematics, data Science or related disciplines with a proven track record of expertise/expertise in tool and algorithm development and/or applied bioinformatics, who are also keen to expand our research
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Science or related disciplines with a proven track record of expertise/expertise in tool and algorithm development and/or applied bioinformatics, who are also keen to expand our research efforts in
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State University (MSU) team to develop new scalable algorithms inside of the Parthenon framework, an AMR performance portable framework based on Kokkos and C++ supported by Los Alamos National Laboratory
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to develop new scalable algorithms inside of the Parthenon framework, an AMR performance portable framework based on Kokkos and C++ supported by Los Alamos National Laboratory. At full strength there will be 7
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license at time of hire Desired Qualifications Certification or training in fume hood testing (e.g., ANSI/ASHRAE 110) highly desirable. Experience in quality control measures, gas detection sensor
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crop modeling for societal applications. A primary focus will be on the development and application of algorithms using radiometer and Synthetic Aperture Radar (SAR) observations from satellite missions
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detection sensor technology, laboratory safety, HVAC systems, or industrial hygiene preferred. Strong communication and interpersonal skills Relationship building Attention to detail Ability to work