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project Decoding innate immune signatures driving trained and adaptive immunity in fish using a high-resolution in vivo and in vitro zebrafish model, which is financed by the Independent Research Foundation
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how
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of cloud-based recalibration, edge AI systems must become "self-aware" and capable of autonomous evolution. Core Research Objectives. The primary objective of this PhD is to develop a high-performance, low
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capabilities. Particular emphasis will be placed on high-speed USV operation in realistic marine conditions, where propulsion, control and sensing are strongly coupled. PhD Focus Area: Propulsion, Control and
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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Starting Date 15 Dec 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description DTU
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Aalborg University, Department of Energy, Campus Esbjerg, invites
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AI-focused companies, technology companies, or research laboratories. Experience with robust software engineering, reproducible research, high-performance computing, or cloud-based scientific workflows
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, interdisciplinary working environment In-house modelling, data processing and data assimilation expertise, software, and High Performance Computation (HPC) infrastructure Excellent scientific infrastructure
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the electrical grid, electrolysers, fuel-synthesis processes, energy storage and heat integration in integrated Power-to-X systems. You will develop and apply physics-based process models that describe