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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Aerosol and Cloud Microphysics group, part
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
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education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating
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disciplines and mentors Stanford Departments and Centers: Med: Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend. $75,000+ per
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Recognised Researcher (R2) Positions Postdoc Positions Country Austria Application Deadline 12 Mar 2025 - 23:00 (Europe/Brussels) Type of Contract Temporary Job Status Full-time Is the job funded through
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linked to cancer mechanisms, with a focus on biomarker discovery and validation. We are specifically looking for a postdoc to spearhead computational projects at the intersection of human genomics and
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and ambitious computational postdoc to join us at the Danish Cancer Institute. The postdoc will be responsible for establishing and driving our new bioinformatics platform to perform analysis
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
competitive postdoc with expertise in processing and analysis of genomic and epigenomic data, experience in multi-omics data integration, and working knowledge of computational modeling and machine learning