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. - Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus. - Curiosity to research and develop new solutions in collaboration with senior and
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of neural network architectures (as a plus: PINNs, neural operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing
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characterization with scanning electron microscopy is a plus Experience with computational tools such as MATLAB, Python or relevant tools Ability to work independently and collaboratively in a multidisciplinary team
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of neural network architectures (as a plus: PINNs, neural operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing
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evaluations Solid programming skills in at least one relevant language (e.g., Python, C++) Interest in interdisciplinary work involving engineering, sustainability, and real-world infrastructure Strong written
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Computer Science and Mathematics. A background in algorithm design and implementation combined with solid programming skills (e.g., Java, C, C++, Python), is highly valued. Candidates are expected to contribute
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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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: 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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: Programming skills (Python, and/or C# or similar programming language). Knowledge of some of the following fields: medical image data, database structure, image processing, creation of user-friendly WEB pages