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surface topographies. Integrate high-frequency current-pulse monitoring and data-driven approaches for intelligent process control and performance prediction. Investigate the relationship between EJM
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position – Understanding the chemical activity of air pollutants in field measurements using laser spectroscopy Human
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 2 months ago
; and how these mechanisms can be understood, modelled and ultimately perturbed for biomedical discovery. Two scientific tracks Track 1: Computational Biology / Machine Learning for membrane protein
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
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digital process-monitoring and predictive modelling approaches for intelligent and reliable micro-EDM manufacturing. The project includes potential international secondments at Sarix SA (Switzerland
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aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as well as machine
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and Prof. Sytze de Bruin. Where to apply Website https://www.academictransfer.com/en/jobs/362515/phd-state-dependent-spatial-rep… Requirements Specific Requirements As a PhD researcher, you should have
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surface temperature) with eddy flux measurements to scale up findings and develop predictive models of water use efficiency, and c) quantify water use efficiency and its temporal and spatial variability
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quality, particularly in controlled environments such as greenhouses and vertical farms. By integrating plant physiology, modelling, and data-driven approaches, the group aims to predict plant performance
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University of Wisconsin-Madison, Department of Bacteriology | Madison, Wisconsin | United States | about 2 months ago
research programs aimed at predictive modeling and engineering of biological networks, mechanisms of adaptation and stress response, or multiscale interactions in complex biological systems. Teaching loads