506 developer-"https:" "https:" "https:" "https:" "https:" "https:" positions in Germany
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
Scientist (f/m/x) in Spatial Multi-Omics Analysis 103012 Full time, close to full time 27,3 - 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking
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Research Infrastructure? Yes Offer Description Objective: You will develop operando scanning TEM (STEM) and EELS approaches to characterise adsorption phenomena and the formation of the electric double
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SEI formation for SIBs, ZIBs used within the project). Where to apply Website https://www.leibniz-inm.de/en/job-offers-2/ Requirements Research FieldChemistry » Instrumental analysisEducation
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scenarios, the project focuses on increasing the technology readiness of the sensor and enabling its adoption in scientific and industrial vacuum applications through continued technological development and
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development of a plasma-based injector for the synchrotron light source PETRA IV. In this context, we are searching for a highly-motivated laser scientist with a broad range of expertise and knowledge in high
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Research Training Group (IRTG) provides interdisciplinary training for doctoral candidates in the field of molecular evolution and origin of life. Addressing this complex topic requires the integration
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-Interaction, Sensors and Analytics LISA+ is expected as well as readiness to participate in current or planned joint research projects and in the strategic development of the Department of Physics and the
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transitions. In general, we are interested in plant development, cell identity, and pattern formation (for more background see Smit et al. 2023 Dev Cell and Sasidharan et al. 2026 bioRxiv ). In this project you
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. The project duration is planned to June 2028 with option of extension. Your tasks You will play a key role in the methodological development of geostatistical interpolation tools for atmospheric concentrations
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. Your task in detail: Design a data pipeline to extract and preprocess activity-relevant features from monitored building power consumption data Develop a classification algorithm (e.g., based on Gaussian