26 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions at Heidelberg University in Germany
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Independent work ethic and desire to learn new methods and protocols A willingness to learn basic computer programming Work well with people from various cultures Ability to speak and write fluently in English
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The Scientific Software Center (SSC) at the Interdisciplinary Center for Scientific Computing, Heidelberg University, aims to improve sustainability of research software and professionalization
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of data protection law Requirements: First law degree or LL.M Willingness for interdisciplinary cooperation with experts from the field of computer science- reliability and punctuality Good command
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and the Interdisciplinary Center for Scientific Computing. The professorship will contribute to teaching in the area of quantitative biology and bioinformatics in the Bachelor’s and Master’s degree
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research, medical technology development, and clinical application. The focus is particularly on photon-counting computed tomography (PCCT), 4D MRI flow imaging, and AI-supported analysis and modeling
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-homepage Implementation of empirical studies with the social robot Advising students on technical issues You bring with you: B.Sc.-degree in computer science, computer linguistics, data science and AI
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protection law Requirements: First law degree or LL.M Willingness for interdisciplinary cooperation with experts from the field of computer science Reliability and punctuality Good command of written and
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science practices such as the use of open data and the promotion of reproducible research. The junior professorship in “Public Child Mental Health” is also expected to actively contribute to the “Mannheim
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Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner using comparative panel data and
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Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner Engage independently in data