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- Good PC and programming skills (e.g., with Python, MATLAB) - Experience with measurement techniques and field measurements using sensor technology (ideally using seis-mometers, geophones, etc.), as
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autonomous systems Fluent English (spoken and written); German proficiency is a strong plus Ability to work independently, willingness to learn and acquire new competence Strong programming skills (Python, C
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Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly motivated both independently and in a team • Very good written and spoken English skills • Some knowledge or
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, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high
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into concrete tractable problems you can solve. Be equally passionate about rigorous mathematical reasoning and hands-on Python implementation (PyTorch, JAX, …) in HPC environments. Communicate clearly in English
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languages such as Python or R Ability to conduct independent scientific research Experience working with large datasets is an advantage Excellent communication skills in English (both written and spoken
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or for multiobjective optimization problems. Implement the developed algorithms (e.g., in Python) and evaluate their practical performance on artificial and/or real-world data. Teach tutorials (in English) for
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machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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tools (e.g., Python programming) is an advantage. You enjoy working in an international team and have good communication skills. Proficiency in spoken and written English is required. For more information