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of ecological data and sustainability issues - Materials Science: AI-driven discovery and design of new materials Applicants should have (i) a Ph.D. in Computer Science, Computer Engineering, Electrical
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Description About Us Ardent Process Technologies is on a mission to save the planet. We create technology to capture and reduce greenhouse gas emissions, avert global warming, and transform industry into a long
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flexible role not tied to any single predefined project. The successful candidate will contribute to a range of modelling-driven projects that tackle key questions in cancer biology, such as understanding
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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21 Feb 2026 Job Information Organisation/Company Università degli Studi della Tuscia Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading
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will be leaders in promoting justice and the public good in the new age of technology and globalization. The Associate Dean for Strategic Initiatives, Admissions and Financial Aid works closely with
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape. The Department of Electronics and ICT Engineering Technology in the Faculty
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the Research Grant Regulations of the Foundation for Science and Technology. 6. Work plan: The RiskMap project aims to develop an AI-driven tool to map degradation risks on historic building facades, using
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impactful, application-driven research. This position supports a strategic research project on full electric harbour craft microgrid modelling, onboard energy management systems (EMS), and hardware-in