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mineral and metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way. The Department of Modelling and Evaluation is looking for a PhD Student (f/m/d) to work in
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systems using various tools and models, including: i) characterization of the emerging patterns in physical systems (solid state materials and active systems); ii) investigation of the mechanical properties
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highly motivated candidate to develop models integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
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development of alternative methods to animal testing for biomedical and toxicological applications Establishment of 2D cell culture and 3D organoid models and integration to microphysiological systems in
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materials that can host an innovative form of AI which operates in hardware. This technology, called neuromorphic computing, aims to surpass the limitations of current software-based AI models, especially in
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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that cannot be avoided for technical or economic reasons. In the future, these must be captured and stored, used as raw materials, or offset by negative emissions. It can be assumed that storage and utilization
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. Santiago Botía with close collaboration with Dr. Christoph Gerbig of the Atmosphere-biosphere Signal Attribution (BSAT) and Atmospheric measurements and mesoscale modeling (ATM) groups at the Max-Planck