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into organizational workflows, they introduce new attack surfaces and vulnerabilities. Organizations often lack the tools to monitor and enforce policies governing access and usage, leaving them exposed to compliance
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sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
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C5 “Multiple Common Grounds - Linguistic Mechanisms for Literary Meaning” of CRC 1718 (principle investigators: Matthias Bauer, Sigrid Beck, Angelika Zirker). The project investigates the pragmatic
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physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals
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in their choices, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Join us
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depending on the project and assigned research/scholarly functions, or other creative aspects. Preferred Qualifications Salary Commensurate with experience. Number of Vacancies Multiple Desired Start Date 09
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@som.umaryland.edu www.medschool.umaryland.edu/Anesthesiology UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender
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and interpretation of results Supporting the analysis of multiple mitochondrial ‘omics datasets, such genomics, transcriptomics and clinical data Collaborating regularly with the team members and
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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Overview: As data becomes more accessible, new challenges arise around how best to use it—especially in complex, multi-system environments like aerospace. Ontologies offer a powerful solution by