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partners. In this role you will: Design, build and flight-test several (scaled) models of the medical delivery drone(s) De-risk the flight controller of the eVTOL aircraft Optimise the full-scale medical
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Flexibility to contribute across multiple projects and research applications Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Background Experience in one
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applications. Research activities may involve geophysical forward modeling, AI-driven geophysical inversion, seismic monitoring and imaging, scientific machine learning, depending on the specific research focus
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, molecular biology, genomics, imaging, and behavior. Develop and troubleshoot new techniques and models; drive projects forward with scientific independence and rigor. Laboratory resource management and record
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spectroscopic and physical techniques including single-crystal X-ray crystallography, and their use as supports for one or more magnetic ions and molecules to study the quantum properties on a model surface
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, transcriptomics, metabolomics, phenomics, microbiome) for predictive modeling and biological interpretation. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data
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models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting, and anomaly detection
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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful
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microbial communities initiate and propagate using early colonizers from dental plaque as a model. The successful candidate will participate in the design, implementation, and evaluation of research studies
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obtain research specimens, devices, models, and materials necessary for project execution. Develop detailed research protocols, standard operating procedures, and quality assurance processes. Contribute