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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model datasets, e) a strong desire/motivation to develop scientific
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algorithms, architectures, and learning strategies that fundamentally challenge existing resource constraints in large-scale AI systems. Prototype, implement, and rigorously evaluate complex machine learning
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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institutes and centers. The Data and Democracy Research Lab is a unique interdisciplinary team combining expertise in mathematics, algorithm design, geospatial data, and public policy. Members of the lab
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Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc. Ability to respond on short
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algorithms for Robust Relative Biological Optimization, considering uncertainties in the parameters of dose-response models. Finally, the aim is to o assess the potential of fractionation optimisation in
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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University Abu Dhabi, seeks to recruit a motivated research or postdoctoral associate to lead the design, development, and validation of material, control systems, and algorithms for next-generation soft
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal