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required; proficiency in French is a plus. Preferred Qualifications Experience in pyrochimical processing of oxide, sulfide, or silicate ores. Familiarity with thermodynamic simulation software (e.g
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, software developers, and data scientists to ensure practical applicability of the developed infrastructure Supervision of BSc and MSc student projects Disseminating your work through peer-reviewed
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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or papers from Ph.D. currently under review Experience with life-cycle costing, life-cycle environmental assessment methods and/or software Strong skills in Python (preferred) and/or a similar programming
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. Responsibilities for this position includes:* Developing deep-learning approaches for insight and
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software Structural and thermomechanical simulations, particularly thermal stresses, mechanical loads, and deformation under high-temperature conditions Development of an engineering design for
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. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software packages for data
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding
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using software and programming languages such as R, Python, Google Earth Engine, etc. Demonstrated ability in integrating ecological theory with ecosystem ecology and remote sensing to improve predictions