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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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wildfires and their impacts on both the stratosphere and climate combining different model systems. The position is to be filled by 1 May 2026 or as soon as possible thereafter. Expected start date and
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with different sex-determining systems (XY, ZW, homomorphic vs differentiated sex chromosomes); investigating the drivers of sex chromosome turnover, transposable elements and repeats landscape and
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qualifications: Strong experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop biomass Insight into global
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information about the university, please visit www.xjtlu.edu.cn . RESEARCH AREAS Currently, we are seeking candidates from different research areas. The more details can be kindly found as below: 1. Industrial
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experiments, including occasional wet lab work Merging experimental results, simulations, and literature for optimal conditions inducing movement differences, in collaboration with the team. Participation in
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discipline. Strong background in heat transfer and thermal transport modelling. Experience with numerical methods for transport equations (e.g. BTE, kinetic methods, finite-volume / finite-difference
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(or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability
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in Robotics, Computer Science, Aerospace Engineering, or related field Demonstrated expertise in SLAM, preferably aerial SLAM projects Strong programming skills in C++ and Python with ROS/ROS2
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Master’s degree, if applying for the Research Associate rank. A strong background in mathematics and programming (e.g., Python or MATLAB). A strong publication track record. Excellent analytical and research