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., phylogenetic analysis) You have personal integrity and take initiative. You are resilient, and do not give up easily. You are well structured as a professional and driven to achieve a high level of quality
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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Exciting postdoc opportunity in integrating photosynthetic living organisms in materials and devices! Work assignments Are you passionate about developing the next generation sustainable
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the problem is explicitly considered. In particular, it will investigate how to tightly integrate state-of-the-art sampling-based methods with state-of-the-art methods from numerical optimal control in a
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of functional composite structures by truly integrated carbon nanomaterial-based sensors” (ISIMON), in which we aim to investigate various methods for structural health monitoring in composite hydrogen tanks. Due
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novel solutions for integrating soft electronics into tissue while minimizing insertion damage. The research will include materials and devices based on soft and elastic electronic composite materials
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parametric amplifiers, an iCCD camera for transient photoluminescence measurements, and on the integration of nanosecond Nd:YVO4 and mid-infrared quantum cascade lasers into these measurements. You will use
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on generative AI for synthesizing data related to energy use. This interdisciplinary project integrates technical advancements in AI-based data synthesis with socio-technical and ethical methodologies and
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characterization, integrating sphere measurements, etc.). Your research direction and work assignments The postdoc will join our ERC project focusing on dynamic optical nanoantennas and metasurfaces, for example
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, raw materials, and wastes) and usually lack uncertainty quantifications. The goal of this project is to integrate probabilistic machine learning methods and models to accelerate CFD computations and