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team dedicated to advancing high-throughput, data-driven multi-omics research in pediatric hematological malignancies. The group is affiliated with the Division of Pediatric Hematology and Oncology
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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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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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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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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
CCAMLR. CCAMLR aims to manage this fishery sustainably, relying on ecosystem-based approaches incorporating data on predator population, ecosystem state, and krill biomass and distribution. The krill
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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
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of Chemistry is equipped with state-of-the-art analytical, experimental, and data processing methods and is integrated into a strongly interacting and collaborating scientific environment with the Departments
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fusion energy research Work in an excellently equipped research centre with cutting-edge laboratories and on-site computer clusters No teaching requirement, you can spend your working time for research
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research