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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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your research at conferences, workshops, and through scientific publications. Your profile: ▪ You hold an MSc degree in physics, engineering, or computer science. ▪ You are very experienced in Python
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using programming languages like R, and/or Python. You have excellent
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system modeling is beneficial but not mandatory First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent written and spoken
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experimental and laboratory work Experience with programming in Python Fluency in speaking and writing English Previous experience with scanning probe microscopy would be an advantage Our Offer: We work on the
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to submit the dissertation after 3 years and 9 months of research. Desired requirements specific to this project include: experience with a range of relevant computer programming languages such as Python, R
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modeling is advantageous Good programming skills (e.g., Python) High degree of independence and willingness to show great commitment Very reliable and conscientious work style Fluent written and spoken
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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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