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. The candidate will design and analyse an energy consumption model for modern cellular base stations that accounts for contribution of multiple components and functions, such as idle static power, MIMO operation
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to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates
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from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface chemistry with engineering to produce a tangible
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seeking a doctoral researcher possessing a curious and self-driven mindset to develop and apply new simulation protocols to push towards realistic and dynamic modeling of AS-ALD processes. Recently, we have
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robotics applications and has application in all three endoscopic areas. The goal of the PhD is to computationally design using a simulation-guided approach and synthesize via light-based 3D-printing
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numerical model simulating wood formation. Position: Doctoral candidate (m/f/d) in the field of tree growth and wood physiology, 75%, available from March 2027 Your Profile Completed master studies in
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a wild, non-model plant species. Your job To face climate change and other environmental challenges, the capacity for rapid adaptation is crucial for both natural plant populations and crops
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an advantage: Deep learning or machine learning Structural bioinformatics Protein structure prediction and modelling Molecular simulations Membrane proteins or membrane biophysics Scientific software development
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chemical warfare agents (CWAs), allowing for safe working outside of the lab. However, it is currently poorly understood how to model the interaction of CWAs with supramolecular hosts with respect
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
-supervised by: Mohamed Maouche, Researcher at Inria Raouf Kerkouche, Researcher at Inria Sonia Ben Mokhtar, Researcher at CNRS Scientific context Recent advances in Large Language Models (LLMs) have enabled