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E14 (TV-L). The department Human and Animal Cell Lines conducts research with cell lines and hosts the DSMZ open cell lines collection. This includes quality controls and distribution of cell lines
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digitisation, archiving and utilization programme. Due to an expected broad public and scientific interest in the HEFA, very good communication skills are essential for networking with national and international
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experience, particularly with experience in the preparation of histological specimens and/or working with animals. Basic computer skills and ability to accurately record data and results. Proficiency in
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, configuration, monitoring, maintenance and management of hardware and software components Client and user support for UNIX, MacOS & Windows Qualifications are: Completed university degree (BA) in computer
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encourages independence and self-reliance aervice groups and support for stakeholder management and living lab coordination, as well as for data management and computation access to a network of national and
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: Research Assistant (m/f/d) (TV-L 13, 75%, until October 31, 2028). The DSM is one of eight research museums of the Leibniz Association. Its exhibition and research program focuses on the study of maritime
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across five departments—Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations—in an interdisciplinary framework as part of a joint research program
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, weighing and chemical extraction Data entry and evaluation Literature research Your qualifications Enrolment in a Bachelor’s or Master’s degree programme in environmental or natural sciences or equivalent
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research institutions, and a research and development provider for numerous companies throughout the world. The...
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datasets. Developing and implementing data processing workflows to create high-quality visualizations and maps. Utilizing PIK's high-performance computing cluster for spatial and temporal data analyses