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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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-Scripting very good knowledge in programming, preferably in Python,Fortran, Matlab or R experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory capability to work in
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Proficiency in running numerical coastal ocean models Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran, C/C++, or Python
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. Profound knowledge of at least one programming language, preferably Python. Previous experience in machine learning and deep learning. Practical experience with frameworks such as Keras or PyTorch Good
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data science, computer science, physics or a related field. Profound knowledge of at least one programming language, preferably Python. Previous experience in machine learning and deep learning
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or Python Machine learning methods (for the baseline prediction for the reward funds) is beneficial We expect: Strong motivation to contribute to policy-relevant research Strong interest in teamwork and
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Experience in energy storage Experience with programming languages (ideally Python) Fluent in written and spoken English Very independent and self-motivated way of working but also excellent teamwork skills
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of the above fields Solid methodological background in image processing and AI Strong publication record in relevant fields Hands-on programming experience in Python for data science, image processing, and using