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for recruitment positions for general criteria for the position. Preferred selection criteria Experience with computer vision, video analysis, self-supervised learning, vision transformers, or multimodal learning
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21st September 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Explainable AI for Synthetic Media Analysis Apply for this job See
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25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD
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and hardware security assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and
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assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and quantitative security assessment
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of the liver to resolve inflammation and restore tissue homeostasis. The PhD will focus on developing a robust, microfluidic platform for in‑depth analysis of liver - immune cell interactions. For more
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, microfluidic platform for in‑depth analysis of liver - immune cell interactions Qualifications Master’s degree in Biology, Biotechnology, or a closely related field. Minimum of two years of relevant post
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in‑depth analysis of liver - immune cell interactions Qualifications Master’s degree in Biology, Biotechnology, or a closely related field. Minimum of two years of relevant post-graduate, hands
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. Experience with laboratory experiments (batch incubations, microcosms, or similar). Knowledge of chemical analysis techniques, such as ICP-OES or ICP-MS, ion chromatography, and nutrient analysis. Experience
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(WEFE) nexus, and model-based learning and communication. The group makes use of a variety of tools and techniques: stakeholder mapping, governance analysis, participatory modeling, non-linear feedback