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- Justus Liebig University Giessen •
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Field
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conditions. Increasing plant diversity, including the use of different grass, legume and forb species, offers opportunities to improve the productivity, persistence and resilience of forage systems
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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental
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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
on Topics in Coding (ISTC), 2025. [8] F. Weindel, A. L. Gimpel, R. N. Grass and R. Heckel, ”Embracing errors is more effective than avoiding them through constrained coding for DNA data storage,” Allerton
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in scientific research at the intersection of Earth Sciences, Archaeology, and Prehistory Fieldwork experience in geoscientific and/or archeological research projects Basic knowledge of GIS (ArcGIS and
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a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV
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, GIS, or quantitative social science) is an asset but not required. - Excellent written and spoken English. - Proficiency in written and spoken Danish or another Scandinavian language is preferable
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 12 days ago
with quantitative data analysis using R, Python, MATLAB or comparable software; GIS experience is advantageous Very good command of English (approximately equivalent to CEFR level C1); knowledge
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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or related fields. Two (2) years experience in data analysis. Experience with relational databases and statistical research, data retrieval, and query e.g. geographic information systems (GIS), Python, Numpy