38 parallel-processing-bioinformatics Postdoctoral research jobs at Nature Careers in Germany
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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To strengthen our team in the division 5.4 “Advanced Multi-Materials Processing” in Berlin-Steglitz, starting 01.04.2026, we are looking for a Postdoc for Transparent Ceramics (m/f/d) Salary group
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the field of cell or developmental biology, who work between a lab and a CSBD research group. How to apply For details about the application procedure, please visit our website www.csbdresden.de/join-us/as-a
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global
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Core Facilities Recreation: 30 days annual leave, flexi days, plus public holidays International Staff Service: Support with the relocation and integration process in Germany Health Promotion: Sports
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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
environment that provides equal opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection
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English skills High level of motivation for independent and team-oriented research work Proficient computer skills, particularly in MS Office (Excel, Word) Flexibility, commitment, team spirit, and a strong
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Labeling and Imaging“ Dr. Gražvydas Lukinavičius Am Fassberg 11 37077 Göttingen Germany www.mpinat.mpg.de/ Information pursuant to Article 13 DSGVO on the collection and processing of personal data during
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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