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Field
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at interdisciplinary conferences alongside a team of psychologists, historians, and computer scientists. What do you have to offer Must-have: You have completed a PhD in psychology, computational social science
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Andrey Rivkin, DTU Compute, https://orbit.dtu.dk/en/persons/andrey-rivkin
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, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians
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English skills High level of motivation for independent and team-oriented research work Proficient computer skills, particularly in MS Office (Excel, Word) Flexibility, commitment, team spirit, and a strong
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an interdisciplinary research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
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Computer Engineering The candidate should have published at least 3 journal papers in top 10% international journals of the field, and/or multilateral project experience and/or relevant industry experience
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outreach activities, including engagement with students and the broader public For further information, please contact Prof. Eva LAGUNAS at . Your profile Ph.D. in Electrical/Computer Engineering, Computer
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23 Jan 2026 Job Information Organisation/Company AI4I Research Field Engineering » Computer engineering Computer science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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-paced environment. Candidate will also need strong organizational, prioritization, basic computer navigation skills, and a working knowledge of the Internet. Does this position have supervisory