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the broader social contexts in which moral phenomena arise and can be meaningfully assessed. This postdoctoral project develops new methods for the ethical assessment of socially disruptive technologies. It is
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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
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the regulatory interactions regulating suberin biosynthesis in different root cell types? And are you interested in combining gene expression analysis with developing new experimental methods, such as TurboCas
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clinical psychology, grief research, or related areas. Expertise with different research methods, including self-report measures and ecological momentary assessment (EMA). Strong analytical skills and the
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for policymakers? Are you excited by the prospect of performing a mixed-methods study on evaluating One Health surveillance systems, governance, and law in real-world settings? The ‘One Health’ approach recognizes
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contribute to developing this theoretical framework, with a strong focus on analytical modeling, computational methods, and the interpretation of learning signals embedded in physical structures. Recent
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with different research methods, including self-report measures and ecological momentary assessment (EMA). Strong analytical skills and the ability to synthesize complex findings. Excellent communication
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, spectroscopic and electrochemical methods) for real-time analysis of battery electrolyte streams; Design and validate data fusion strategies combining multiple sensor outputs into robust chemical information
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-dimensional flow analysis. It combines work on experimental techniques with the application of established and advanced 3D-LPT methods. The selection process will start immediately; the intended start date is
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building supply chains that are resilient, sustainable, and regulation-ready. The project develops methods and decision-support tools that integrate resilience and compliance directly into supply chain