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therefore especially encourages them to apply. For further information: Please contact Dr. Slavica Janevska | https://www.leibniz-hki.de/en/epi-staff-details.html?member=1105 | +49 3641 532-1188 | career
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Good written and spoken English skills Experience in the presentation and publication of research results Good communication and information behaviour, goal-oriented and structured way of working
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Expertise with scientific data analysis We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity
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integrate large-scale sequence and RNA-seq data from internal and public resources. You build a reference library of predictive regulatory motifs. You use network analysis and random-forest approaches
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safe machine learning and its certification, and implementation of regulation frameworks like the EU AI Act, General Data Protection Regulation (GDPR) and the Medical Devices Regulation (MDR) Very good
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models and human cells Analyze, document, and present experimental data and results Actively participate in scientific discussions and team meetings Taking over project responsibility Collaborate closely
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will be destroyed according to data protection regulation. For further information regarding the position and research unit, please contact Prof. Dr. Deniz Tasdemir by e-mail (dtasdemir(at)geomar.de
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Independent problem solving and systematic data-driven experimental design and execution Fluent in English, German is a plus What you can expect A multidisciplinary project with a strong focus on applied
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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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interactions Integrate omics approaches with microphysiological modeling Interpret data, write manuscripts, and present findings at conferences and seminars Collaborate across disciplines with engineers