207 information-security-"https:"-"https:"-"https:"-"https:" research jobs in Denmark
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or as soon as possible thereafter. Project The position is affiliated with the research project ‘Practice Resonant AI Ethics for the Public Sector’ (PRAI) funded by the Independent Research Fund Denmark
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potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace. Salary and terms of employment The employment is in accordance with the Ministerial Order on
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Job Description The Department of Political Science and Public Management, University of Southern Denmark, Odense, is looking for a full-time research assistant for a strategic research program on
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of natural and synthetic catalytic RNA complexes focusing on circular RNAs and their potential role at the origins of life. COL is funded by the Villum Foundation. Expected start date and duration of
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of Torben Heick Jensen. Expected start date and duration of employment Positions are available from 1 September 2026 or as soon as possible hereafter. Duration of employment is two years with a possibility of
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security screening related to international research collaboration as part of the recruitment process. The security screening will be conducted in cases where the University deems it appropriate based
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Job Description DTU Department of Wind and Energy Systems inaugurated Risø HPP in October 2024. Risø HPP is a Hybrid Power Plant facility based on two 225kW wind turbines, two 185kW PV systems and a
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of Torben Heick Jensen. Expected start date and duration of employment Positions are available from 1 September 2026 or as soon as possible hereafter. Duration of employment is two years with a possibility of
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possible thereafter. The position is a fixed-term full-time position for the duration of 2 years, based on a grant from the Danish Diabetes Academy. As a staff member at the Department of Public Health, you
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum