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Field
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Python/Java/C++ be proficient in written and spoken English be able to work in a team We offer: Working in a team of enthusiastic scientists who work to push the boundaries of knowledge in the field in
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with python programming, image processing, agent-based systems Ideally, good communication skills in both German and English You are enthusiastic about learning new practical skills, approach unfamiliar
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and pursue research projects independently as well as in collaborations with multi-disciplinary teams. experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as
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, geosciences, mechanical/electrical engineering, or a related field Very good understanding of data analysis and/or machine learning Programming experience, ideally in Python and C (additional languages such as
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. You find it easy to organise your tasks independently and efficiently. You are proficient in software for data analysis such as MS Office, Origin or Python. You can express yourself confidently in
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differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C++, and JavaScript
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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software and system architecture What you bring to the table enrolled student in the field of computer science, physics, electrical engineering or a similar subject very good programming skills in Python
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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student in Social Sciences (f.e. Economics, Political Science, Sociology, Psychology) Knowledge of R, Python or Stata (and willingness to work with R) Experience in quantitative text analysis Very good