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every qualification listed above. Stipend 2: Data-driven modeling and optimization for efficient and secure-by-design Power Electronics (Aalborg) The PhD position focuses on next‑generation power
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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staff position within a Research Infrastructure? No Offer Description Do you want to contribute to finding practical solutions for optimized nutrient adequacy, when shifting towards more plant-based diets
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, spectroscopic signatures, microstructural images, processing conditions, and macroscale performance will be used for the optimization of materials. The candidate will collaborate extensively with in
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position. Good knowledge of combinatorial optimization (scheduling problems, mathematical modelling etc.), machine learning and/or strong programming skills are an asset.• You have an interest in supply
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240 credits, at least 60 of which must be in advanced courses in Electrical Engineering, Computer Science, or Applied Mathematics. Alternatively, you have gained essentially corresponding knowledge in
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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knowledge of antibody biology. Extensive experience in molecular biology and flow cytometry. We are looking for someone who works well independently and has strong communication skills. Merits: Good knowledge
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, metabarcoding / metagenomics) • Excellent organizational skills for research activities: optimization of experimental protocols, data compilation and management • Ability to generate reliable, high-quality data
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for this job See advertisement About us Molde University College - Specialized University in Logistics (HiMolde) is a leading teaching and research institution within several areas, with the vision "Knowledge