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15th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Cyber Risk Management in Maritime
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 7 days ago
the Council (EU) 2016/679 of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General
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assimilate business process documentation. Demonstrated excellent written/oral communication skills, technical documentation skills, user liaison skills, and personal interaction abilities. Experience
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://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold
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: Interested individuals can initiate the application process by visiting the UMB’s Career Portal at https://employmentopportunities.umb.edu/boston/en-us/listing/. After completing the University’s basic
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Job id: 158046. Salary: £45,031 - £52,514 per annum including London Weighting Allowance. Posted: 16 September 2026. Closing date: 22 September 2026. Business unit: Natural, Mathematical
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10 Sep 2026 Job Information Organisation/Company Tohoku University Research Field Anthropology Arts Demography Economics Criminology Ethics in natural sciences Cultural studies Ethics in physical
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for the position. Preferred selection criteria Experience or strong interest in one or more of the following areas is considered an advantage: Machine learning, deep learning, natural language processing or data
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are not limited to: Application and Tool Development and Customer Support (40% FTE) •Leverage a variety of programming languages and tools to design solutions to meet emergent system business needs with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
structured output generation) Experience with natural language processing utilizing traditional data science approaches (word2Vec, NLTK, Spark NLP, etc.) and/or NLP utilizing large language models High level