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and compare material intralogistics handling alternatives—such as in-pit crushing & conveying, trolley-assist systems, and battery-electric trucks—in strip mining operations. This research is part of
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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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in Computational Biology. The candidates should be highly motivated and have a Ph.D. in computational biology or any related field, and a good knowledge of molecular biology. The candidate will be part
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, liquid formulations, and their applications. Design and develop formulations based on specific requirements, such as sustainability, performance, stability, and cost-effectiveness. Perform chemical
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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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Postdoctoral researcher in acid gas neutralization using carbonates from phosphate mine interlayers (12 mois) As part of its commitment to the circular economy and industrial waste valorization, and
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molecules in chemistry, pharmaceuticals, and agrochemicals. The position provides a unique opportunity to work at the forefront of computational chemistry and AI, contributing to high-impact research with
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the supervision of Ph.D. students and guide their research work. Lead R&D projects on the laboratory and pilot plants scales, analyze the results and provide reports and presentations to management and partners
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, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: ACER invites applications for open rank positions to work as post-doctoral researchers in
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and Technology Transfer Center (AITTC), part of the College of Agriculture and Environmental Sciences (CAES), is dedicated to delivering high-impact research and services in agronomy, soil fertility