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Candidates are expected to have a PhD in physics, chemistry or materials science by start of the appointment. Candidates will be evaluated on: Strong background in neutron scattering Scientific qualifications
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. • Experience on scientific writing • Ability to work autonomously and under pressure. • Degree in biology, chemistry, or relevant field. Successful candidates will have exceptional organizational and time
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
) YesNo Teachr Educ & Curr Studies (7) YesNo University Police (7) YesNo Biology - Instructional (6) YesNo Chemistry (6) YesNo Civil, Arch & Environ Eng (6) YesNo College of Nursing (6) YesNo Ctr Family
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
) YesNo Teachr Educ & Curr Studies (7) YesNo University Police (7) YesNo Biology - Instructional (6) YesNo Chemistry (6) YesNo Civil, Arch & Environ Eng (6) YesNo College of Nursing (6) YesNo Ctr Family
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Chemistry (5) YesNo College of Optometry (5) YesNo Dean of Students Admin (5) YesNo Mechanical & Aerospace Engin (5) YesNo Medicine-Hematology & Oncology (5) YesNo Nursing - General (5) YesNo Pharmacy
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our dynamic research team. Qualifications The successful candidate will have a PhD in a related science (Chemistry, biochemistry, plant science) and 3 years of post baccalaureate hands-on experience
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) YesNo School of Nursing (6) YesNo Teachr Educ & Curr Studies (6) YesNo Thompson Center (6) YesNo University Police (6) YesNo Applied Soc Sci (5) YesNo Auxiliary Operations (5) YesNo Chemistry (5) YesNo
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
) YesNo Teachr Educ & Curr Studies (7) YesNo University Police (7) YesNo Biology - Instructional (6) YesNo Chemistry (6) YesNo Civil, Arch & Environ Eng (6) YesNo College of Nursing (6) YesNo Ctr Family
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historical fire event datasets, modern vegetation and fuels datasets, and future climate-fire projections. This work builds on prior efforts of downscaling of the Physical Chemistry Fire Frequency Model (PC2FM