91 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at Nature Careers in Germany
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to ensure that curated datasets are accessible and meet scientific standards for security, compliance, and usability. The successful candidate will represent the MPI-GEA Data Center within the Max Planck
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ideas from the lab to real-life applications, improving lives. Helmholtz Munich invites outstanding early-career researchers (f/m/x) to apply for the Health AI Fellows (HAIF) Program , a unique
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industry partners to secure substantial financial support for tech innovations and translation of novel solutions with transformative potential to medicine and healthcare. The position will enable you to
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organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products
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PhD in computer science, physics, mathematics, or a related discipline Strong expertise in image analysis and/or machine learning, with a deep understanding of how data characteristics impact downstream
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state-of-the-art computational and high-throughput experimental validation methods in functional, de novo protein design. Over the next two years, the team will jointly develop computational methods
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of internal communication Risk management: supporting the management in the areas of occupational safety, fire safety, health, radiation, animal welfare and environmental protection through central coordination
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and society. Your Role As Industry Fundraiser (f/m/x), you will be responsible for initiating, maintaining and delivering on strategic relations with industry partners to secure substantial financial
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collaboration partners Your Profile Academic degree (M.Sc. and Ph.D.) with a background in computer science, bioinformatics, physics, or a related field Proven experience in next-generation sequencing (NGS) data
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participants Apply advanced analytical methods for integrative multi-omics analyses Implement state-of-the-art statistical and computational techniques for disease prediction Leverage extensive, high-quality