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Field
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difficult problems Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson’s terms Demonstrated track record publishing in top tier peer-reviewed venues Strong
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
methodologies to complex engineering systems; Development and application of advanced Scientific AI methodologies, including surrogate models, generative models, probabilistic models, and data-driven and physics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
technical personnel. * Experience in research design, project management, data analysis, and interpretation of complex biological datasets. Preferred Qualifications, Competencies, and Experience * Expertise
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and study designs to conduct rigorous analyses of complex healthcare studies. Develop and implement advanced statistical approaches using software such as SAS, R, or Stata. Contribute to grant
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independently and track record of meeting project deadlines and delivering results without constant supervision. Proven ability to work autonomously on complex technical problems and demonstrated problem-solving
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projects focused on real-world data analytics, health outcomes modeling, and biomedical informatics. Develop and apply advanced statistical and machine-learning methodologies to address complex health
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learners. The researcher will independently conduct or collaborate on multi-scholar projects, analyzing complex data, adjusting experimental designs, and developing actionable recommendations to improve
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, understands complex systems; knows where to start, or ask others where to start > Demonstrates strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal
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host strains for the expression of complex biosynthetic pathways. Analyse and interpret molecular, expression and production data. Coordinate relevant NTNU activities with partners in the AIMARIA
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of explainability and trustworthiness in AI Clear written and verbal communication skills, including the ability to explain complex concepts to non-specialists Intellectual curiosity and motivation to work on applied