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systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a
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public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1
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of mobility. The position is associated with the research project “Justice-oriented Urban Spatial Analysis and Transportation with Modelling” (JUST-Model) financed by HVL. About the PhD project/ work tasks: Are
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the … Where to apply Website https://www.academictransfer.com/en/jobs/358014/phd-position-optimzation-of-int… Requirements Additional Information Website for additional job details https
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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interaction, advanced numerical modelling, experimental techniques, sensor development, data-driven methods, and artificial intelligence for industrial applications in energy, process, and materials engineering
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logic, formal descriptions, software engineering, and programming. This PhD project focuses on developing a model-based and knowledge-driven framework for the analysis of complex manufacturing and
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leadership. Unlike a traditional software engineering role, this position requires deep scientific engagement, technical leadership, and hands-on system building, from early design through a fully usable