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, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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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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, 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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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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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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HPC systems Practical experience working with conda environments and Python scripting Motivation to contribute to the development of an open-source molecular modeling platform for soil components Hands
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interest in energy technology, energy economics and policy issues Experience in programming with Python or a comparable programming language Experience in energy system modelling is an advantage Highly