380 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" research jobs at Nature Careers
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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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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(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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for the optimal candidate later dates may be negotiated. You can read more about career paths at DTU here . Further information For further information about the research at SurfCat at the Department of Physics
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• Collect and analyze experimental data • Collaborate with team members and investigators Preferred Skills: • Basic understanding of molecular biology techniques • Familiarity with CRISPR-Cas9
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment
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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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scientific discovery and improving patient outcomes. This position is responsible for designing and executing research projects, analyzing complex imaging data, developing innovative imaging methods, and
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research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. For more information on the Franklin’s Challenges click here . The Role We are seeking a highly
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking