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Field
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. Essential Functions Develop transient physicochemical macroscopic-scale models for in-vitro mRNA transcription processes. Derive model equations and numerically solve systems of differential equations
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Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven
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scientists with numerous international collaborations and partnerships and have funding from the National Institutes of Health and the Canadian Institutes of Health Research. This position will join a diverse
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(at least 2 first-author publications) • Experience with numerical simulations and/or geochemical modelling software • Advanced knowledge of isotope geochemistry and/or related field • High proficiency in
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the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing
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to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease phenotyping and monitoring treatment
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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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and ex vivo cellular imaging, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM research group
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, communicating and solving any potential problems that arise with analyses or other aspects of research projects; Contributing to reports, presentations and publications by preparing numerical and graphical