899 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions at Nature Careers
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Job Description St. Jude is seeking a Senior Bioinformatics Research Scientist for data science projects within the Center for Pharmacogenomics in the Department of Pharmacy and Pharmaceutical
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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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as of that date be with a department Contact information For further information, please contact: Prof. Alfred Spormann, aspormann@inano.au.dk. Application procedure Short-listing is used. This means
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teaching faculty in Natural Language Processing (NLP) & AI to deliver and manage the course, "The Language of AI". This course introduces students to Natural Language Processing (NLP) and Information
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bioinformatic facility, data storage and analysis facility and animal housing of which bees, drosophila, zebrafish, xenopus and mice facilities. Deep sequencing and proteomics facilities can be accessed in nearby
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responsibilities for independently overseeing the daily conduct of assigned studies including designing and evaluating improvements of data collection procedures and interventions to improve study accrual and data
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Research. This position is responsible for overseeing Hematology's Clinical Trial Management Data Team which includes providing guidance on data collection, management, and analyses for clinical research
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Application Information Please ensure you include the following documents in your application: As a valued member of our team you can expect: A competitive salary. An exciting, positive, creative, challenging
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or device prototyping Experience with quantitative measurements and data analysis Ability to work independently, keep clean documentation, and deliver to milestones Background in thermoelectrics, sensors
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Integration of lifestyle, metabolic, and genomic data to refine early detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening