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A PhD position starting November 1, 2025 (with some flexibility in both directions) is available at the University of Southern Denmark (SDU) for research in an exciting project in algorithmic
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appointment as of 1st of February 2026. The PhD Fellow will be a part of the project PRAXIS, a research project funded by Tuborgfondet. The appointment as PhD fellow will be a fixed term (3 years), full-time
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
construction sector projects (e.g., capital facilities, industrial, commercial, education, road, railway and/or maritime or offshore) are helpful Construction engineering and project management knowledge and
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offer computational efficiency and the ability to handle uncertainties. This project aims to identify promising RL-MPCs for application and upscaling in real-life building management settings. As PhD
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engineering and project management is advantageous Strong analytical and technical problem-solving skills, with a solid foundation in computational engineering Ability to work independently and take initiative
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Molecular Biology , University of Southern Denmark , Odense. The position is available for three years from November 2025 or as soon as possible thereafter. Research Project and Role As a PhD fellow you will
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, Faculty of Arts, Aarhus University, in collaboration with the CRIES project funded by Independent Research Fund Denmark (DFF) and Center for Humanities Computing (CHC), invites applications for a PhD
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Description A PhD position starting November 1, 2025 (with some flexibility in both directions) is available at the University of Southern Denmark (SDU) for research in an exciting project in algorithmic
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Job Description DTU Management would like to invite applications for a 3-year PhD position starting no later than October 1st, 2025. You will work under the supervision of Associate Prof. Filipe
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genetics and archeology. Project description Your task will be to develop new computational methods to study archaic introgression and applying them to the largest dataset of present-day human genomes