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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes
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. By combining advanced AI recognition with live inventory monitoring, FabricFlow addresses long-standing inefficiencies in supply chains caused by manual processes, disconnected data, and lack
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. The research will involve both analytical work and numerical computations. The balance between analytical and numerical type work is flexible and can depend on the preferences and skills of the successful
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by underrepresented groups Develop communication and education materials for local communities Apply/design appropriate analytical techniques to generate impactful insights. Formulate tailored
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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of analytical philosophy Experience in research management and in leading project staff Experience abroad Willingness to acquire German language skills within 3 years that are sufficient for teaching in
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in neurodevelopment. This role will focus on data analysis and methods development to develop a better understanding of the mechanisms underpinning typical and altered neurodevelopment, brain structure
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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering
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using public and proprietary data as well as sensitivity analysis of analytical modelling results against known outcomes. The developed models will then be applied to examine the impacts of various
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of mixed phase numerical or analytical flow modelling for icing. Experience conducting and analysing experimental data is desirable. You should have a record of academic publications in the field and be able