53 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Pennsylvania State University
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, Mathematics, or a closely related field. For full consideration applicants must complete the Penn State application and must submit the following materials by May 15th. • A research statement. • Curriculum
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mentoring of graduate students. The required qualifications are: PhD degree in Civil Engineering, Materials Science, Chemical Engineering, or related field Extensive research experience related to concrete
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, self-driven, collaborative, skilled young microscopist with a PhD in materials science, physics, chemistry, or a related field that has a thorough background in aberration-corrected scanning/transmission
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presentation at conferences and manuscript preparation Specific criteria include: Recent MD or PhD (0 - 3 years) in a relevant biological science or bioengineering discipline Strong critical thinking skills
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a Ph.D. in computer science, engineering, mathematics, or other related fields. Successful candidates must have Ph.D. or terminal degree prior to beginning employment at Penn State. This appointment
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the opportunity to work with faculty and students from physics, mathematics, and/or computer science. We are particularly interested in candidates with expertise in open quantum systems and at least one
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cytometry General lab management and accurate documentation and maintenance of data files Animal handling and SQ, IP injection, oral gavage, intravenous injection Required Qualifications: PhD – biochemistry
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refereed journals. This is a term position funded for one year from date of hire with a good possibility of re-funding. Education and Experience: Applicants must have a PhD in Plant Biology, Molecular
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methyl shuffling leaves a discernible isotopic imprint, regardless of the source. Qualifications and Requirements: A PhD in stable isotope geochemistry, organic geochemistry, or microbial biogeochemistry
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to the researcher’s career goals. Applicants must have a PhD in rural sociology, sociology, geography, or a related field, with experience in mixed-methods social science research in rural settings, including