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a focus on meat and dairy promotion. In partnership with Adfree Cities, the student will investigate: (1) the link between advertising exposure and mental health using large-scale secondary data and
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 1 month ago
to identify opportunities for British Sugar as a case study which can then be applied across a wide range of dispersed industrial sites. These sites are those that might not benefit from large infrastructure
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 1 month ago
of an accurate and generalisable density Equation of State model (EoS). This is especially challenging near the critical point and the Widom line, where there are large gradients in fluid properties. This project
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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using state-of-the-art measurement systems such as LC-(HR)MS? This might be the next step for you! Pyrrolizidine alkaloids (PAs) are a large and structurally diverse class of plant-derived toxins, with
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is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se
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The growing demand for high-performance, low-power large-area CMOS technologies has driven interest in a range of new materials, including silicon-based thin films, organic semiconductors, and metal
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Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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) workflows for learning from large-scale imaging and molecular data Develop ML models to investigate cellular responses, particularly in cancer cell lines Develop DL models for molecular design based on time