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omics platforms (e.g., fluorescence microscopy, mass spectrometry imaging (MSI), Raman systems) and will develop computational and statistical data analysis methods to improve data quality, information
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analysis of sequence and genome data (bioinformatics). Experience working with non-model organisms (animals), ideally marine invertebrates. Oral and written communication skills in English. Desirable skills
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Strong interest in vegetation and ecosystems dynamics, biodiversity and climate change and human-nature interactions, and in interdisciplinary collaboration Very good skills in data analysis and
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(preparation and staining (IF, IHC), confocal and fluorescence microscopy, analysis and evaluation) Experience with quantitative analysis of imaging or physiological data (e.g., microscopy, cardiac imaging
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application. Information on the protection of your personal data can be found at https://leibniz-ifl.de/en/functions/data-protection-job-advertisement The IfL advocates professional equality for all genders
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, molecular genetics and genomics. You are experienced with Next Generation Sequencing methods. Ideally you have an affinity to command-line based bioinformatic data analysis. Experience with R and Linux in a
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to improve the clinical care of inpatients in Southeast Asia and Africa Preparation and analysis of scientific data Writing scientific texts and publications Design and coordination of field activities in
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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application. For more information, please visit https://www.kmk.org/zab/zeugnisbewertung.html . By submitting your application, you consent to the processing of your personal data for the purpose
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interest (for postdoctoral candidates also experience) in stable isotope geochemistry and analysis. Expertise in data analysis and willingness to collaborate closely with colleagues in paleobiology