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Field
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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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is expected. We offer you: With appropriate qualifications, a visiting professor status at TUM, with a highprofile presentation on the project website. The close cooperation with the other visiting
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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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to build a collaborative scientific carrier in computer science and medical data analysis at a German top-ranked university. Help to acquire, mentor and teach students (e.g., PhD, MSc, BSc, seminar series
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis
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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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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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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