61 assistant-professor-computer-science-and-data-"St"-"St" PhD positions at Forschungszentrum Jülich in Germany
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Join an interdisciplinary team that brings state-of-the-art AI
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: A completed university degree (Master’s or equivalent) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including
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scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science or comparable fields Good knowledge of quantum theory, ideally quantum information theory
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compilation, optimization and error mitigation collaborate with theoretical computer scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science
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of interfaces for the automated integration of research data into efficient open-source energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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: Master in physics, computer science or comparable fields Good knowledge of quantum theory, ideally quantum information theory Organizational and communication skills Ability to work independently in
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rigorously define the computational power of continuous variable systems Your Profile: Master in physics, computer science or comparable fields Good knowledge of quantum theory, ideally quantum information
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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field. Experimental skills in biophysics experiment design including associated data analysis. Prior knowledge of structural biology and associated data analysis techniques is of great advantage. Strong