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-supported research infrastructure. Our group develops computational and statistical methods for large-scale genomic, clinical, and phenotypic data and collaborates closely with partners in computer science
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mountains. To achieve this, we combine disciplines ranging from ecology and geography to economy and archeology, represented by large team of researchers and stakeholders from the EU and Eastern Africa
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, environmental and/or ecological sciences ability to work with large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C
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people will be given preference if equally qualified. You can find more information about our institution on the Internet at: https://leibniz-lib.de/
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 16 days ago
Germany's largest scientific organisation. Where to apply E-mail personal@hzdr.de Website https://www.hzdr.de/job2216e Requirements Additional Information Website for additional job details https
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application. Information on the protection of your personal data can be found at https://leibniz-ifl.de/en/functions/data-protection-job-advertisement The IfL advocates professional equality for all genders
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manager to work for the ERC Synergy Grant Project “LIMIT2ADAPT - When and where do we reach the limits of adaptation to riverine flood risk?”. You have expertise in exposure and risk research, large data
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position, please contact Dr
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact Dr
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Requirements: Master’s degree or PhD in biology, ecology, environmental sciences, marine sciences, or a related field Ability to work with complex ecological or environmental datasets Experience with data