409 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" research jobs in Germany
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contact persons, please visit https://datascience.uni-greifswald.de/forschung/behaive/ . Job Description: The research assistant in the project ‘Scalable Systems for multimodal Data Analysis’ will have the
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Institut für Data Science Frau Prof. Dr.-Ing. Kristina Yordanova Felix-Hausdorff-Straße 18 17489 Greifswald sekretariat-datascience@uni-greifswald.de Where to apply E-mail sekretariat-datascience@uni
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support, utilizing pharmacokinetics database PK-DB and individualized patient data (more information: https://livermetabolism.com/atlas ) Requirements: - completed scientific university degree in (bio
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), to: Universität Greifswald Institut für Data Science Frau Prof. Dr.-Ing. Kristina Yordanova Felix-Hausdorff-Straße 18 17489 Greifswald sekretariat-datascience@uni-greifswald.de Where to apply E-mail sekretariat
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1, 2026. For more information, please visit https://torbenottlab.org and/or contact Dr. Torben Ott. The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and
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) • Mathematical research related to the research area of Prof. Dr. Damaris Schindler Your profile • Master degree in mathematics, • Research focus in number theory • Proficiency in English and German
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://www.desy.de/career/job_offers/index_eng.html?joboffer=307469 Requirements Additional Information Website for additional job details https://www.desy.de/career/job_offers/index_eng.html?joboffer=307469 Work
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Max Planck Institute for the Physics of Complex Systems | Dresden, Sachsen | Germany | about 2 months ago
with disabilities will take precedence. Where to apply Website https://www.pks.mpg.de/CMpd26 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Additional Information Work Location(s
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only. Information pursuant to Art. 12, 13 DSGVO on the processing of personal data (at Humboldt- Universität) within the framework of job advertisements can be found on our Website: https://hu.berlin
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute