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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms Apply for this job See advertisement This is
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is the 16th of August 2026, 23:59 GMT +2. We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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) are widely used in industries such as automotive and electrical engineering. During service, these materials are frequently exposed to harsh environments involving elevated temperatures, oxygen, and moisture
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The goal of my research is to synthesise and characterise functional low-dimensional materials with atomic-scale precision and tailored electronic, optoelectronic, magnetic and chemical properties
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
Developing computational framework for 3D shape modeling towards biological insights Developing AI-based representation learning framework for data-driven cell modeling Report findings and methods in
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, materials and energy. Approx. twenty partner organizations representing academic and research institutes, and the enterprise and public sectors collaborate in the center. The center’s goal is to develop
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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researchers specialising in materials science, photocatalysis, modelling, optical engineering, reactor development, sustainability assessment and industrial innovation. This international network will give you
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits