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Field
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initial contract of two years Background The post-doctoral researcher/university researcher will be working on the EU’s Destination Earth Climate Change Adaptation Digital Twin Project, Phase 3 (https
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factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing (HPC
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(HPC) or cloud infrastructure. In both projects, actively participate in EU level network meetings, collaborate with other projects within the consortia and be responsible for writing, submitting and
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, TensorFlow); experience working on HPC clusters is an advantage Familiarity with genomics and regulatory biology (gene expression, transcription-factor binding, variant effects, GWAS/eQTL) is desirable; a
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, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do As a postdoctoral researcher, you will: Develop machine-learning
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the COST Action InfoGUT project (https://infogut.eu/ ). • PI's UTU profile: https://www.utu.fi/en/people/matti-ruuskanen • PI's Google Scholar profile: https://scholar.google.com/citations?user=anXmb6IAAAAJ
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, Harmony, Monocle3, or scVelo Knowledge of immunology Experience with clinical datasets and HPC Strong written and verbal communication skills Ability to work independently and collaboratively Demonstrated
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impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 9 days ago
, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
inform observable macroscopic properties as part of the activities of the UNC Superfund Research Program (SRP) (https://sph.unc.edu/superfund-pages/srp/). This work involves running, developing, and