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Field
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Engineering, Physics, or a closely related discipline, within less than 5 years post receiving their PhD. The candidate should have a strong research background in at least one of the following areas: solid
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highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar. Research experience on process-based models (e.g. DayCent, DNDC, or similar) to simulate
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-PIP How to Apply Application Deadline: Applications to this opportunity are accepted throughout the year and are
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, and participate in applying for domestic and international patents. Assist in supervising PhD and Master's students, and participate in the center's collaborative projects with industry partners
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extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a related
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 2 months ago
process representations for next-generation Earth System Models and future CMIP simulations. Your Profile A PhD degree in environmental-, climate- or geosciences or a related field (applications of
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Predominantly Undergraduate Institution in preparation for an academic career. Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in a biological/biomedical field related
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references, and a copy of at least one representative research publication to Dr. Maurer at [email protected] and cc Dr. Xiao, our Senior Scientist, at [email protected]. Applications will be reviewed as they
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through their work. Qualifications: PhD Degree in MSE or a related field (e.g., physics, chemistry, chemical engineering) Publications in peer-reviewed journals Demonstrated experience in materials
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undergraduate students to contribute research, publication and presentation. Minimum Qualifications: PhD in data science, computer science, materials science, electrical engineering or related field from