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, along with higher degrees by research. CMEH is home to internationally renowned research infrastructure, including the Towing Tank and Model Test Basin, enabling world-class experimental hydrodynamics
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computational background in statistical modeling, reproducible workflows, and large-scale data processing Experience with water quality, nutrient, sediment, watershed, or hydrologic datasets Experience developing
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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Laboratory. You will be responsible for: • Advancing numerical modelling methodologies for 3D woven composites • Designing and conducting high‑rate and impact experiments on 3D woven composite architectures
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Scholar is expected to lead analyses critical to the virome/microbiome research program and to take initiative in contributing to advancing community metabolic modeling in microbiomes, curate under
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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
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in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing systems, data collection
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, ligand GaMD). ● Experience building and interpreting Markov State Models or comparable approaches for identifying metastable states and conformational transitions. ● Proficiency in Python and
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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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for immunological tolerance during autoimmunity and transplantation, directed at therapeutic intervention strategies. We are using autoimmune animal models to understand biological processes involved with autoimmune