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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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funded projects Your Profile Completed doctoral degree in materials science, chemistry, physics, engineering or a related field In-depth knowledge of semiconductor technology and the physics of solar cells
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laboratory/field experiments with soil invertebrates Written and spoken German skills We offer access to an international network of scientists, policymakers and research organizations a dynamic working
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relationships in societally relevant research areas and uses the findings to provide advice to policymakers and society at large. DIW Berlin is a part of national and international networks, provides research
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
Preferably, experience in the design and the construction of chemical-physical equipment Preferably experience in handling of milligram-amounts of material Good knowledge in the fields of material properties
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, B., Holtkamp, E., et al. Integration of variant annotations using deep set networks boosts rare variant association testing. Nature Genetics (2024) Marconato, L. , Palla, G. , Yamauchi, K. A
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The Leibniz Centre for Tropical Marine Research (ZMT) GmbH (www.leibniz-zmt.de ) is an independent research and teaching institute that provides scientific knowledge for the protection and
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, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working environment in the fields