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complex materials with tailored properties using high-throughput simulations, data analytics, and material characterization. Benefit from strong connections to top research infrastructures like the Jülich
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receive active support in applying for external doctoral funding. Application deadline: December 7, 2025 Further information and access to the online application portal are available at: https
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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network analyses experience is useful Experience in data analysis and scientific publication Ability to work in a team, good English communication skills A driver licence is useful Our offer We offer
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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performing data analysis of B cell receptor repertoire data using programming languages (mostly R) Successful candidates can think independently, are eager to acquire necessary new skills, and are excellent
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partners at CASUS (HZDR), TU Bergakademie Freiberg, and TU Darmstadt Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Chemical Engineering, Environmental Chemistry, Data
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extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR
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. Your responsibilities Work with genetically modified mouse models Culture cell lines, iPSCs, and renal organoids Analyze transcriptome and proteome data Apply high-resolution microscopy techniques Your
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
topics that focus on the interplay between genetics, metabolism, and information processing. Specifically, the projects in the limits2vision programme aim to systematically unravel the mechanisms