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a circular and low-carbon economy. The PhD is expected to cover: Developing dynamic material flow analysis (dMFA) models to quantify steel stocks, flows, scrap generation, and scrap quality across
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. If you possess hands-on experience in cell culture, molecular biology, or data analysis, that is fantastic—but please note that we do not expect you to master all these technologies on day one. We
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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for hybrid design and analysis studies. The project develops an integrated digital framework in the context of multi-materials in which materials research and physical testing form the validated foundation
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study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board
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PhD candidate, you are expected to bring your own creativity to the challenge: How can image-based AI analysis reveal drug effects? How can mechanistic computational models develo on spheroid morphology
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responsibilities include: isolation of individual interaction-specific compounds from soil fungal co-cultures and analysis of their molecular structures via spectroscopy methods; analysis of interactions between
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should shape code and decoder design. Depending on your background and interests, the emphasis can lean more theoretical (bounds, code constructions, information-theoretic analysis) or more algorithmic
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. Where to apply Website https://www.academictransfer.com/en/jobs/363203/phd-candidate-treatment-optimis… Requirements Specific Requirements Profile We are looking for a highly motivated candidate with: A