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Field
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems
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laboratory work; experience in coordinating specialised analyses, including selecting research methods and materials for analysis. knowledge of methods used in archaeometry and environmental archaeology
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the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the performance of high pressure
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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Qualifications Minimum Education and Experience Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical modeling
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, scientific and numerical computation Familiarity with common Python tools including Pandas, Numpy, Scipy, Django, RDKit Doctoral Degree in Computational Chemistry, bioinformatics, computational biology, or
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, to exercise the functions of planning and conducting field and ecotoxicology laboratory work, including experimental assays with multiple stressors and analysis of biochemical biomarkers; statistical treatment
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travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding
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uncertainty quantification. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and