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: Experience with numerical climate models and/or chemical transport models such as CESM and/or GEOS-Chem. Advanced programming skills in Python, Fortran, or other relevant languages. Experience in wildfire
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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the newest developments in 3D printing and test innovative ideas through hands-on experimentation. You have experience with digital design and control tools such as MATLAB, Python, or ROS, and possibly with
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field that provides a strong research background for the project. Fluency in English and Python are required. Research experience working with large-scale machine learning projects, extensive research
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data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in working with Livestock data is an advantage. Can speak and write English fluently
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statistics. Advanced programming skills. Advanced verbal and written communication skills (fluency in English is required). Desirable: Fluency in Python. Experience with algorithm design, machine learning and
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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. Experience with modelling and simulation tools such as MATLAB/Simulink, Python, or similar is essential, along with good programming skills and the ability to work with complex systems. Strong analytical
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern