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experience in both quantitative and qualitative data analysis. Prior experience working with vulnerable or marginalised populations is highly valued, as is familiarity with stakeholder engaged research, co
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, structuring, and analysing spectroscopic data using multivariate analysis approaches, and excellent verbal and written communication skills. The ideal candidate will be self-motivated with ability to conduct
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5 Jan 2026 Job Information Organisation/Company Czech Geological Survey Department Center for Lithospheric Research Research Field Environmental science » Earth science Researcher Profile First
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to develop single-cell analysis techniques; support for international collaborations; For information: Dr. hab. Dominika Włoch-Salamon, Prof. UJ, dominika.wloch-salamon@uj.edu.pl Website for additional job
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materials and devices. This position will require the candidate to employ a wide variety of laboratory and data analysis techniques to prepare and characterize combinations of materials tailored toward
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research projects Support projects across the full project cyle, from project and sample intake through data analysis and reporting Operate, maintain, and troubleshoot instrumentation to ensure optimal
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University of California San Francisco | San Francisco, California | United States | about 20 hours ago
; collect, enter and clean data into study databases, maintaining data quality; assist with data analysis; assist with preparation of reports and tables; attend team meetings; and perform other duties as
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of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the https://uni-goettingen.de/GDPR Where to apply E-mail sekretariat@ump.gwdg.de
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analyses, population genetic analyses- information provided in the CV and/or in the motivation letter; Experience in analysis of plant organellar genomes - information provided in the CV and/or in
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spatial transcriptomics derived from rodent models or human samples. o Oversee data processing, quality control, and computational analysis to ensure high accuracy, reproducibility, and adherence to best