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Field
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Department of Spatial Economics The Econometrics and Data Science department aims at pushing the academic frontier in methodology development for quantitative, statistical modeling of data, ranging
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the entire agricultural sector. Despite this importance, corrosion research remains dominated by case-specific studies and expert-driven intuition. This project aims to close that gap by generating, extracting
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, theoretical computer science, or a closely related field. Strong enthusiasm for mathematics and abstraction, matched with the motivation to conduct theory-driven research, the ability to develop rigorous
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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If you are eager to perform cutting-edge molecular modeling to accelerate the development of green and low-carbon hydrogen technologies, then this is position is for you. Job description You will
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remains dominated by case-specific studies and expert-driven intuition. This project aims to close that gap by generating, extracting and measuring corrosion data into a unified knowledge base. On the
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science. In this PhD project, you will: § Develop an experimental platform to study 3D
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qualitative research. This project aims to develop a scalable EEG foundation model capable of learning general-purpose representations of brain activity that can support diverse neurotechnology and multimodal
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modelling for conversion and sorbent regeneration, in conjunction with another PhD student in the department who will perform CFD modelling and other researchers performing process system modelling within