770 computer-"https:"-"https:"-"https:"-"https:"-"University-of-Aberdeen" positions in Germany
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metabolomics Access to cell sorting and high throughput cultivation technology Access to in-house high-performance computing clusters An interdisciplinary working environment with frequent exchange of
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, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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Neuropmorphic Computing business unit, focuses on technologies for metallization in the BEOL (back end of line) of CMOS manufacturing and the border area to advanced packaging. The core theme of the group is the
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are described here . Research Environment The University of Konstanz has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy and is among the most highly
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On-going master studies in Data Science, Database Systems and Information Management, Computer Science, Physics or Applied Mathematics Knowledge of signal processing, Data analysis and Data handling Interest
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state-of-the-art computational and high-throughput experimental validation methods in functional, de novo protein design. Over the next two years, the team will jointly develop computational methods
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a Postdoctoral Researcher (Postdoc) - Artificial General Intelligence (AGI
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detection and precision prevention in the role of a division head at the DKFZ. The program is expected to build on prostate cancer as a model disease with later expansion to other common tumor entities, e.g