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focused on applying quantitative tools (e.g., statistics, machine learning, optimization, simulation) to healthcare delivery, healthcare operations and healthcare management as well as medical decision
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previously conducted research or have demonstrated knowledge within some of the following areas: classical and/or quantum data communication, error correction, communication algorithms, optimization algorithms
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, generative design, building performance optimization, digital design methods (e.g., predictive modeling, multi-agent systems and algorithmic techniques for architectural design), digital design epistemologies
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researchers passionate about making a difference in the field of science. About SCC SCC is a climate cluster organization established to create an optimal framework at SDU for groundbreaking, excellent and
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characterization via omics data analysis, and other computational tasks such as sequence optimization, data extraction, and DNAseq analysis. We also consider projects in data infrastructure, LLM development with
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transformation, operational efficiency, and structural coherence Strong financial understanding, including cost control and gross margin optimization Excellent stakeholder management skills across academic
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machine learning, computational modelling, and advanced data analytics can accelerate not only the discovery, characterization, and optimization of materials but also project assessment and communication
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within built environment Data-driven modelling and computational techniques for optimizing indoor environmental control systems Control of gaseous emissions in livestock housing Excellent programming
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the University: https://lighthouse.ku.dk/en/ High-Level Support and Facilities to Optimize Your Translational Research Outcomes To enable you to carry out groundbreaking fundamental research and generate
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robotics community, and highly livable with a green banked meandering river cutting through the centre and attractive residential areas. Job Description The positions involve researching optimal and