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and production development, mechanical engineering, industrial engineering, or equivalent. experience in programming, preferably Python. fluent in spoken and written English. proficiency with mechanical
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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., Computer Science, Cognitive Science, Human Computer Interaction, Human Robot Interaction or Artificial Intelligence. experience in programming, preferably Python. fluent in spoken and written English. It is
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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languages such as Python or C Solid background in quantum mechanics Experience from working on quantum error-correction, open quantum systems, quantum optics, bosonic codes or continuous-variable quantum
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familiarity with associated technologies. Demonstrated programming proficiency in languages such as Java and Python, along with experience in various development environments. Knowledge of participating in
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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-based imaging techniques (TEM, fluorescence, histology etc.) Successful grant applications Experience in Python programming Having worked on diverse science projects, in international surroundings
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programming in, for example, R or Python. Particularly valuable is a research background in ecology, biodiversity, systems biology, or related areas, as well as experience working with time-series data, dynamic
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high