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Field
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systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine fieldwork in real-world architectural settings with human
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is to understand and optimize PPA properties using a simulation strategy that spans from the molecular scale (ab initio calculations) to continuum approaches, thereby accounting for the different
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. The techniques used will include Laser Doppler Vibrometry (LDV) and Air Coupled (AC) ultrasound detection. The candidate will design optimized setups for (i) vibration excitation by an impactor or ultrasonic
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to establish improved, AI-enhanced calibration strategies for diverse industrial and geophysical materials. Ultimately, it seeks to determine the optimal, AI-informed approach for selecting and calibrating
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20th May 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD position. PhD Candidate in Reinforcement Learning and MPC Apply for this job See
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alternative to conventional fertilizers, as they should optimize nutrient supply, limit losses to the environment, and preserve crop production and quality. Where to apply Website https://amethis.doctorat.org
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
mathematical background with knowledge of numerical optimization and machine learning. With regards to software engineering, proficiency in Python is expected and preliminary experience in a distributed
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to pose increasing risks to public health in Europe. This project aims to develop a new data-driven framework to assess invasion risk and optimize mitigation and surveillance strategies in the EU. The
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1 Apr 2026 Job Information Organisation/Company Institute of Electrical Engineering, Slovak Academy of Sciences Research Field Physics » Solid state physics Researcher Profile First Stage Researcher
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of Materials, analytical and numerical Data-Driven Engineering Design and Optimization Algorithms Surrogate Modeling (e.g., Kriging, Gaussian Processes, Neural Networks, etc.) Scientific Programming (e.g