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Field
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challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
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and papers supporting the scientific case for polarized deuterons. Contribute to the design, simulation, and performance optimization of the BHCal for the EIC. Participate in the assembly, calibration
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experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high
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with good understanding of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with
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Varseq software to run projects, exporting and merging the trio files; make suggestions to optimize processing steps. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, mathematics
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- “Environment and conservation fund turning sewage sludge into green hydrogen and e-fuel with carbon-neutrality goals in Hong Kong: innovative process design, optimization, economic viability and environmental
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learning, path planning, and Bayesian optimization. Plan and perform experiments, oversee research performed by students and research technicians, and mentor and train postdoctoral fellows, graduate students
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containers for optimized mushroom cultivation. This interdisciplinary role involves hands-on laboratory work, experimental design, data analysis, and potential contributions to patentable innovations
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engineering strategies to enhance production yields of target chemicals. Conduct lab-scale fermentation, analytics, and process optimization. Publish research findings in high-impact journals and present
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. Skilled in analytical methods for catalytic/separation agents materials characterization. Solid understanding of chemical kinetics principles. Key Responsibilities: Develop and optimize adsorbent catalytic