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, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams • Experience with data science and biodiversity informatics, in particular handling of scientific collection
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on multiple energy-intensive sectors, including chemical, steel and cement. Specifically, FLARE will demonstrate a significant impact on these sectors, including energy cost reductions of 10–15%, CO2 emissions
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
or Population Genetics. Proficient in R and Python programming is essential. Familiar with breeding programs and breeding goals. A collaborative colleague and a good communicator. Experience in collaborating with
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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-driven applications. Demonstrated expertise in designing, implementing, and evaluating complex software systems. Strong programming skills in relevant languages (e.g., Python, C++, Java) and experience
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 18 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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. • Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • Developing data integration methods to combine multiple massive datasets
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(SDU) and Odense University Hospital (OUH) that aim to prevent overtreatment in osteoporosis, breast cancer and multiple sclerosis, using integrated multi-omics to personalize the de-escalation
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methods. Knowledge of a programming language such as C/C++, Fortran, Python, Julia. Soft skills in the context of scientific writing and presentation, including knowledge of the typesetting language LaTeX
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate