103 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Nature Careers in Germany
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Solution Architect Reference number: 2026-0039 The Division of Intelligent Medical Systems (IMSY) is an interdisciplinary research division working at the interface of computer science, physics, statistics
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für Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials
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Master's and PhD degree in a relevant discipline in natural or life sciences, ideally with postdoctoral experience and/or company experience Proven experience and knowledge of German and international
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Demonstrated experience in science and project management, research administration, and regulatory affairs, ideally within an academic environment Very good English skills, both written and spoken Proven project
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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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collaboration partners Your Profile Academic degree (M.Sc. and Ph.D.) with a background in computer science, bioinformatics, physics, or a related field Proven experience in next-generation sequencing (NGS) data
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sciences, computer science, mathematics, physics, engineering, statistics, or related quantitative fields Strong interest in applying computational methods to biomedical or health-related problems
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the MPG. You will lead a high-performing team in a world-class international environment, supported by in-house engineering, high-performance computing, and the services provided by the Max Planck Society
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studies. Required skills: Experience in managing multidisciplinary teams in an international and intercultural environment, including technical and scientific staff PhD in Computer Science or a related
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program in Evolutionary Anthropology. The position offers substantial core funding to support an independent research group. Office and laboratory space will be provided both at Leipzig University and at