827 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"J.-F" positions at Nature Careers
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Job Description The Bioinformatics Research Scientist is responsible for designing, developing, improving, modifying, and operating data analysis pipelines. Manages projects and coordinates other
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believe that better imaging leads to better outcomes for every patient. Job Summary Operates under general supervision. Performs data abstraction, collection, and entry to support clinical research
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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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, value proposition s , targeting and positioning, claims development, and user needs. Collect and analyze essential data through secondary and primary market research . Create clear, compelling, data
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Tenure-track Assistant/Associate Professor/Professor in Ecophysiology and Ecology Department of B...
methodologies. Further information For additional information please contact Head of Section for Aquatic Biology Professor Tenna Riis (tenna.riis@bio.au.dk) (position 1), Head of Section for Microbiology
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Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, Biomedical Informatics (Computational) or a related discipline who possesses strong computational and analytical expertise
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and recurrent rearrangements associated with the neurodevelopmental delay, including autism. More information can be found on the lab website . This role is an integral part of the lab and will be
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screening, and multi-omics data to uncover cancer vulnerabilities and enable next-generation therapeutic target discovery. The group is supported by major competitive funding, contributes actively
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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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computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial