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long-term performance predictions. This PhD project aims to improve process-based understanding of infiltration dynamics in nature-based stormwater solutions by combining field monitoring, experimental
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PID-based control systems to measure net cooling power. Correlate empirical thermal measurements with high-precision optical data. Develop predictive models of radiative cooling performance using FEM
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or more Departments they wish to apply to. Applicants should submit a cover letter, curriculum vitae, statements outlining plans for teaching, research, and contributing to Penn State values (https
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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7 Jan 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Control engineering Engineering » Industrial engineering Engineering » Mechanical engineering Engineering
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for the original heat storage system developed as part of the Stock-HD project, integrated into a heating network. Intelligent control systems must be capable of predicting consumer demand profiles and adapting
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well as upscaling to larger areas and model-based predictions for the future. In this project, the Chair of Forest Botany at the Institute of Forest Botany and Forest Zoology offers, subject to the availability
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positions within in the AMBER co-fund project please visit https://www.euraxess.se/jobs/392999 . The interviews will start in April/May 2026. For more information about AMBER, application and evaluation
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Bernardes on the control of ADC payload release. Antibody Drug Conjugates (ADCs) are a rapidly expanding class of targeted therapeutics. Much effort in the field has been devoted to the identification
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will generate synthetic data from personal data to mitigate scarcity in rare diseases. This will facilitate data availability for further development of predictive models, thereby enhancing the quality