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simulations. The interdisciplinary character of the project also asks for strong skills in communicating with project partners in coordinating research tasks to reach the overall goals of the project
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upcoming AI methods to analyze the climate simulations. The interdisciplinary character of the project also asks for strong skills in communicating with project partners in coordinating research tasks
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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, including next generation sequencing data processing is an added advantage excellent command of written and spoken English pro-active learning and desire for career development excellent communication and
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of simulation data is not required but will be beneficial. You should also have experience in presenting your results to the scientific community at international conferences and through peer-reviewed
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specific component of the climate system. You should also have experience in presenting your results to the scientific community at international conferences and through peer-reviewed publications in
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learning methods is not required. You should also have experience in presenting your results to the scientific community at international conferences and through peer-reviewed publications in international
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to statistical analyze longitudinal cognitive data Experience with the preparation of scientific publications Result-oriented and independent approach to work High communication skills and good command of English
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experience with ROS Experience with simulation tools such as MuJoCo, Gazebo Prior exposure to machine learning and perception systems is an advantage Excellent communication skills and proficiency in English
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) is an advantage Experience in software tools such as Origin, Matlab, Python/Matplotlib or similar programs for data processing and evaluation. Knowledge of a relevant programming language complements