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Field
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Help build the systems that will electrify industry Industrial energy systems are about to change fundamentally. For more than a century, industrial processes have been designed as isolated
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30.08.2026, Academic staff For our AI-Assisted Healthcare Lab at TUM School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and methodological
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that continuously measure psychophysiological signals, to better capture these dynamic processes. Such technologies may offer new opportunities to gain insight into the interaction between psychophysiological states
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contract (37.5 hrs/week). Selection process A specific committee will evaluate the applications using the following criteria: Grade point average of the academic transcripts from the applicant's bachelor's
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ionization for portable mass spectrometry – to detect natural toxins in crops and water at the point-of-need. In this challenging project, you will work as a PhD student to develop novel approaches to impart
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Number of awards: 1 Award information: Fully funded PhD studentship covering Home tuition fees and a tax-free stipend. Available to Home fee-status applicants only due to funding structure
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or equivalent Skills/Qualifications DEGREE: PhD Additional Information Eligibility criteria Assessment Criteria: A. PhD in biomechanics of human movement: summa cum laude (1 point), international distinction (1
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between hydraulic processes and structural response represents a major knowledge gap. In this PhD project, you will focus on impact dynamics on structures, establishing direct links between unsteady
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, PhD candidates and postdoctoral researchers. There will be weekly team meetings to discuss project progress as well as weekly lab meetings. You will specifically be involved in two research projects
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nonlinear behaviour can introduce signal distortion, reduce spectral efficiency, and increase energy consumption. This PhD project aims to investigate Artificial Intelligence (AI)-driven techniques for real