29 parallel-processing-bioinformatics-"DIFFER" Postdoctoral research jobs at Leibniz in Germany
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) (Reference: 24-STB-PB4-PD) Understanding how different Earth system components affect the variation of life forms and how this diversity of life impacts tectonic, geomorphic, and climatic processes at various
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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information for ocean health, sustainable blue economy, and coastal climate risks, downstreaming the data flow from climate ensembles to coastal areas at different spatial resolutions and for selected areas, in
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Senckenberg Museum of Natural History is located in a historic town with a region that is particularly close to nature and well worth living in. This position aims to describe differences in structure and
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multidisciplinary team from several project partners (incl. IPK Gatersleben and Justus-Liebig-Universität Gießen) to analyze how controlled abiotic stress regimes (drought and flooding under different seasonal
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relationships across different languages. This will be examined through a conversation-analytic and interactional linguistic approach, based on video recordings of conversations and other social events involving
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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mechanisms in blood cell regeneration at different ages and aims to characterize how stem and progenitor cell fate and function is altered between steady state and inflammatory conditions. We further explore
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into electricity through innovative thermoelectric generators (TEGs) that perform efficiently even under small temperature differences (ΔT ≤ 30 K), we aim to redefine how IoT devices are powered. This research has
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optimize and ex-ante evaluate different components of an architecture for improving global public good provision that is sketched here . The architecture consists of two components, tax clubs and reward