41 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" "UNIV" research jobs at Nature Careers in Germany
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a team, along with strong social and communication skills Excellent command of English, both written and spoken For further information, please contact Silke Benndorf (+4930-83864398). Applications
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using sighting data and ship positional data, as well as passive acoustic recordings, the project will provide an overview of how hotspots in human and marine mammal presence are distributed in affected
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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about and presenting scientific data Interest in working in a collaborative network of friendly scientists around the world Our offer The position offers an extremely international, well-equipped, and
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experimental studies using animal models and human cells Planning and conducting animal experiments Analyzing, documenting, and presenting experimental data and results Actively participating in scientific
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of Antarctic Marine Living Resources (CCAMLR), which aims to manage the fishery sustainably through ecosystem-based approaches that incorporate data on predator populations, ecosystem state, and krill abundance
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and fire tests Data evaluation, interpretation, and scientific discussion of results Documentation, reporting, and presentation of results at scientific conferences and publication of results in
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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. Further information can be accessed by visiting our webpage at www.csbdresden.de Fellows have full access to state-of-the-art research facilities and infrastructure on the campus. Dresden is a vivid and
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq