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(district, landscape) scales. While current approaches to regional scale crop modelling use aggregate data applied to field scale models, the aim of this position is to advance concepts for understanding
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with institutes and working groups at Geisenheim University is a prerequisite. For further information, see https://www.zalf.de/de/struktur/iat . Tasks: We are looking for an internationally renowned
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information please contact: Prof. Fan Liu; e-mail: fliu@fmp-berlin.de . Homepage FMP: http://www.fmp-berlin.de How to apply: On the FMP homepage please go to “https://leibniz-fmp.de/job-opportunities ” and
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application is successful. You can find further information on this website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact
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instructions of the project (https://manifesto-project.wzb.eu/information/documents/handbooks ) Development of the project’s infrastructure (e.g. Shiny Apps) Contribution to the organization of conferences and
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system: https://www.leibniz-inm.de/en/job-offers-2/ For further information on this position, please contact INM Scientific Director Prof. Dr. Aránzazu del Campo (aranzazu.delcampo(at)leibniz-inm.de
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Frankfurt a.M. E-Mail: recruiting(at)senckenberg.de If you have any specific questions about the position, please contact Prof. Dr. Julia Sigwart at julia.sigwart(at)senckenberg.de . For data protection
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), the largest long-term educational study in Germany. Your work environment ENTAILab is the core infrastructural service and research centre of the “New Data Spaces” program, a DFG-funded multi-local
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) Your tasks: Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization
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about this role, please contact Dr. Heike Reise via heike.reise@senckenberg.de . For data protection information on the processing of personal data as part of the application and selection process, please