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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 19 days ago
degree in a relevant STEM field, including Meteorology, Physics, Mathematics, or Computer Science. -Advanced programming skills with experience handling and analyzing big data (e.g., Python). -Previous
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, or biostatistics. Computational skills, including experience with bioinformatic tools and packages, are needed. Experience with data mining, especially for ‘omics’ datasets, or developing pipelines/software
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At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
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skills and attributes for success: Experience in applying natural capital concepts Experience using a range of data analysis methods Ability to communicate complex information clearly, orally and in
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, supported by Large Language Models (LLMs). Mandatory requirements: The candidate must hold a Ph.D. in Computer Science or a closely related field. Desirable requirements: Experience in Information Retrieval
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 19 days ago
electronics for microwave multiplexing of large arrays of superconducting transition-edge sensor (TES) bolometers and kinetic inductance detectors (KIDs) to enable the next generation of ground-based, balloon
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intelligence and large language models for data analysis, and bioscientific programming. The candidate should have experience in the analysis of large-scale biomedical data, e.g.: omics or clinical data, using
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part of AgriLife and make a difference in the world! Position Information Darwish Research Laboratory at Texas A&M AgriLife Research seeks a highly motivated Postdoctoral Research Associate to play a
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of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research. Experience analyzing large secondary datasets, claims data, registry data, EHR data
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quality control and initial data handling for next-generation sequencing datasets. The successful candidate will independently interpret QC metrics, troubleshoot sequencing issues, and support the growing