32 postdoc-computational-fluid-dynamics PhD positions at University of Southern Denmark in Denmark
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life-cycle dynamics, evolving local contexts, and structural societal changes. The network includes five European universities and several non-academic partners, offering interdisciplinary supervision
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are seeking a PhD candidate to explore the dynamics of organic carbon recycling in the modern carbon cycle. The weathering of sedimentary rocks is a crucial step in the carbon cycle, removing oxygen from
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generation of researchers to advance rural development theory and practice through entrepreneurship. EPHEMERAL explores how entrepreneurs shape rural places over time, considering life-cycle dynamics, evolving
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Status Full-time Hours Per Week 37 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227644 Is the
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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collaborative skills and proficiency in spoken and written English. - Willingness to contribute to the Biology teaching program at BSc and MSc levels, in particular in the area of Animal Physiology and Zoology
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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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PhD Positions Country Denmark Application Deadline 14 Dec 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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PhD Positions Country Denmark Application Deadline 1 Dec 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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computer science. The candidate is expected to have solid knowledge in most of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience