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into account as disruptive events, and which strategies can be derived from this for a resilient system design. Your contribution to scientific analysis: Further develop existing energy system models in Python
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(Python or similar) Prior experience in skin biology or inflammatory diseases is an advantage Excellence in both written and spoken English Passion for collaborative and interdisciplinary research Research
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Kenntnisse und Erfahrung in mindestens einer Programmiersprache, einschließlich sehr guter Kenntnisse in Python und vorzugsweise Java Ausgezeichnete Kommunikationsfähigkeiten Gute Kenntnisse von
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language (R, Python, Matlab, ...) experience with the use of a geoinformation software ability to work in a team, very good communication skills, independent working style and organizational skills very good
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degree program (e.g., Computer Science, Software Engineering). Proficiency in programming languages such as Python or C#. Experience with GUI frameworks (e.g., CustomTkinter, WPF). Familiarity with OOP
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Python programming, allowing you to broaden your research experience besides your studies. Furthermore, you will collaborate with a highly experienced research team with interdisciplinary backgrounds. Here
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studying Computer Science, Software Engineering or other Engineering with good knowledge of software development? Do you have good knowledge of common programming languages, in particular Python? Ideally
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proficency (Python or R, bash) experience with working over an HPC system not required, but beneficial: background on climate, hydrology or geography We expect: the ability to work independently and on your
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algorithms and Quantum Imaginary Time Evolution. What you bring to the table Experience with Python programming Experience in programming quantum algorithms with Qiskit, Pennylane, or similar Prior knowledge
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field; desirable with a focus on operations research • Sound knowledge of linear optimization; experience in working with corresponding software in Python (e.g. Gurobi) an advantage • Strong interest in