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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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, cognition, gut function, and neuroplasticity of the brain. Because gut health affects mood, stress, and cognition through the so-called gut–brain axis, the project combines behavioral and physiological
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, of August 29, as amended by Law No. 57/2017 of July 19, which establishes a hiring scheme for PhD holders aimed at promoting scientific and technological employment in all fields of knowledge (RJEC), and the
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interested in legal research. Good communication and drafting skills are an asset. You are a team player. You have excellent knowledge of written and spoken English and Dutch. Knowledge of other languages is
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on the outcomes. The Person Knowledge, Skills and Experience Knowledge of the structure of power distribution networks and the impact of PEDs and LCTs on distribution networks and buildings Experience in developing
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to national and international stakeholders in politics and business. The position is in the Competence Center »Innovation and Knowledge Economy« and is available at the earliest opportunity. What you will do
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» Knowledge engineering Researcher Profile First Stage Researcher (R1) Application Deadline 15 May 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0
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curiosity in environmental economics or a closely related subfield of economics, preferably with initial research experience in climate economics Basic knowledge of quantitative and policy-oriented research
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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: • Knowledge of fluid dynamics, especially experimental methods in atomisation and sprays. • Programming experience (e.g. Python, MATLAB or similar). • Experience with data analysis, machine learning