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Field
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Your Job: Experimental investigation of the PEMWE cell Development of the cell assembly and measurement protocols with systematic variation of material combinations and operating conditions
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, training and outreach activities of the facility together with technical and specialist support staff. The center has a focus on microscopy method development as well as focused topical biological and
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the auspices of the Lower Saxony Ministry of Science and Culture. It investigates the closely interwoven developments of settlement, landscape and vegetation in the coastal zones of northern Germany and
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 1 month ago
science and technology location. Together with its renowned partners, the BTU forms the Lausitz Science Network - an alliance of research institutions that together want to further develop the strengths
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-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development of the next-generation image analysis and
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on geospatial analysis, GIS, and coastal/marine systems to bridge information technology with coastal challenges; or, v) Data Science or Computer Science with environmental applications. GERICS develops science
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, and data science and further develop this expertise in the context of living lab research. The new organizational unit will also cooperate closely with ZALF's existing research areas and service
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education. Methodological diversity, interdisciplinary collaboration, transdisciplinary cooperation with partners outside academia and a dynamic development characterize its research profile in the fields
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
Community Manager (f/m/x) 102751 Part time, Full time 15 - 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic