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Field
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international cooperations and networks Desirable qualifications are: Knowledge of university processes and structures Experience of supervising students What we offer: Work-life balance: Our employees enjoy
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to their imperfect representation of ocean and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea
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workflows into structured representations suitable for AI planning and optimization algorithms. 2) Research Leadership & Mentorship: * Abstract from the practical challenges presented by the work and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
of vegetation vulnerability and fire response. During the appointment, the participant will have the opportunity to collaborate on developing structural vegetation representations from LiDAR observations
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personality: Successful candidates must hold a doctorate/PhD in Prehistory and Historical Archaeology or a related discipline. They must have knowledge of modern archaeology, demonstrated through relevant
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laboratory skills involving vacuum physics, laser physics, quantum optics tools, lab software and data acquisition, cluster physics and mass spectrometry. Knowledge: experimental experience with macroscopic
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well as (auto-)biographical text analysis; experience with the combination of multi-method approaches as well as with cooperation in mixed-methods projects. Sound theoretical knowledge of practical and
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CRITERION) Knowledge on Chemical Sensing (MUST CRITERION) Excellent knowledge of English (C1) (MUST CRITERION) Experience in research management and in leading project staff (TARGET CRITERION) Didactic skills
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associated with substantial losses of sea ice over both hemispheres. Existing climate models are currently unable to accurately forecast these changes, in part due to their imperfect representation of ocean
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) • Outstanding dissertation (MUST CRITERION) • Knowledge on Chemical Sensing (MUST CRITERION) • Excellent knowledge of English (C1) (MUST CRITERION) • Experience in research management and in leading