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. Collaborate closely with AAU Energy’s researchers from different research groups and industrial partners, as well as assisting in the mentoring of junior researchers. Deliver technical reports and contribute
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LabVIEW scripts and APIs for target-specific applications, working with data acquisition (DAQ) systems, and proficiency in MATLAB, Python, and LabVIEW. Capable of working independently and as part of a
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programming in Python. Excellent oral and written communication skills in English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted for evaluation by
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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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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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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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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