19 environment-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Iowa State University
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Position Title: Postdoctoral Research Position in Agronomy, Soils, and Environment Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The McDaniel Lab is
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. The successful candidate will work both independently and collaboratively within a multidisciplinary research environment and will contribute to the training and mentoring of graduate and undergraduate students
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data in a high-performance computing environment. Assist in the mentorship and supervision of more junior lab members. Interpret experimental results and prepare reports, presentations, and scientific
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, used as local, magnetically selective passive probes of the noise environment at the surfaces, interfaces, and thin films from which superconducting devices are built. The central research goal is to
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their environment to the interrelationships among species; from the diversity of life to the structure of individual organisms, EEOB provides many ways to study life on our planet. Department Unit/Website: Department
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. Additional responsibilities include assisting with routine laboratory maintenance and maintaining a safe research environment by adhering to established safety practices. The candidate will also be expected
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, interdisciplinary research environment. Key Responsibilities Develop and advance non-thermal plasma-based technologies for: Nitrogen fixation Valorization of renewable feedstocks Conversion of waste streams
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, interdisciplinary research environment. Key Responsibilities Develop and advance non-thermal plasma-based technologies for: Nitrogen fixation Valorization of renewable feedstocks Conversion of waste streams
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an opportunity to work in a highly collaborative research environment while advancing expertise in mass spectrometry, metabolomics, and interdisciplinary scientific research. Required Minimum Qualifications: Ph.D
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Genotype × Management × Environment (G × M × E) interactions across production environments. Develop predictive models and decision-support insights for agricultural systems. Evaluate crop responses