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Field
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PhD thesis Resource-Aware AI for Next-Generation Networks. The PhD project will investigate resource-aware Artificial Intelligence (AI) mechanisms for next-generation communication systems. The research
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/10.1007/s11142-024-09822-y . He, L.- Y., Wang, L. (2025). Can artificial intelligence curb greenwashing? Firm-level evidence based on large language model. Energy Economics, 152, 108954. https://doi.org
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hold an MSc in Earth science, environmental science, data science, physics, mathematics or computer science, with practical machine learning/artificial intelligence courses and relevant project and
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dedicated to a multitude of research projects to advance the field of vascular medicine. Research focuses e.g. on the cellular and immunological mechanisms of vascular diseases, namely atherosclerosis which
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probabilistic methods / uncertainty quantification is an asset. Experience and skills Strong fundamentals in mechanics of solids and structures (stress/strain, elasticity, stability). Good understanding
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of Mechanical and Industrial Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296713/phd-candidate-in-bioinspi
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and you’re not fazed or overwhelmed by the ambitious nature of the project. You also have: An MSc degree in Civil Engineering, or a related field. A solid background and keen interest in NDT
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. The PhD project will investigate resource-aware Artificial Intelligence (AI) mechanisms for next-generation communication systems. The research will focus on designing computationally efficient, scalable
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace Within the Centre for Analysis and Synthesis (https://www.cas.lu.se
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of these systems, holistic system‑level design automation is the logical and necessary next step. Achieving this requires moving beyond domain‑specific solutions by integrating mechanical, electrical, software, data