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into industrial equipment and infrastructure. Key duties: The successful candidate is expected to: Have strong experience in polymers, molecularly imprinted polymers, and polymer-based nanocomposite synthesis
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Science, or a related field. Strong background in microbial ecology, particularly with experience in cyanobacteria or microalgae biology. Experience with experimental design and data analysis in both
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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, Environmental Biology, Soil Science, or a related field. Strong background in microbial ecology, especially in cyanobacteria or microalgae biology. Strong experience in soil biological analysis Proven ability
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that has been investigated. Fertilization experiments have confirmed that K deficiency limits tree growth and forest productivity and mechanistic models have been developed that confirm the strong response
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are to contribute to the expansion of research programs concerning Carbon Negative, Capture, Utilization, and Sequestration by demonstrating at least some of the following competencies. Experimental development
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. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages such as python. Experience with HPC environments and linear algebra
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scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas
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scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas
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scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas