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Field
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-on experience with LC-(ESI)-MS/MSwith metabolomic or proteomic samples is highly desired Experience in metabolite and protein extraction, MS data analysis tools and gel electrophoresis techniquesis highly desired
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23 Aug 2025 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Application
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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in English. We offer
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seeks to increase the proportion of women in those areas where they are underrepresented, therefore applications from women are explicitly en-couraged. Data protection As part of your application for a
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to develop a biogeodynamic model, by coupling a trait-based eco-evolutionary model (e.g. AdaScape) into a reduced-complexity river delta model (e.g. DeltaRCM). We will use the model to synthesise information
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26 Aug 2025 Job Information Organisation/Company Heidelberg University Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Country Germany Application Deadline 21 Sep
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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The project will require coding for data analysis and statistics, as well as NGS data analysis. Experience with either of these would be advantageous but an eagerness and commitment to learn is more important
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management systems of the future together! Our research focus: The researchers working at the Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data- and