666 data-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Nature Careers
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. The successful candidate will bridge biological, behavioral, and cultural data to understand the emergence of gendered power structures across taxa and ecological contexts. While strongly rooted in evolutionary
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of Human Genetics of the University Hospital Bonn: Research Scientist position (TV-L EG 14, 100%) (m/f/d) to establish and lead the new “International Biobanks - Data Access and Analysis Hub” of the Medical
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candidate will: Demonstrate experience in biological and clinical data analysis and across a range of NGS applications. Demonstrate experience in generative AI tools and advanced bioinformatics pipelines
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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the Physical Review portfolio. Help select and briefly summarize papers to highlight. Keep up with current and emerging physics research, and communicate such information with editors across the portfolio
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., equipment or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software
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motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the
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have full access to all research and clinical facilities at Cancer Institute. These include access to well-annotated clinical data and bio-specimens (>1,70,000 patients treated per year), GMP facility
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design (up to 5 pages) Teaching statement that summarizes the applicant’s experience in and approach to training and mentoring and teaching philosophy (up to 1 page) The names and contact information for 5
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely