15 data-"https:"-"https:"-"https:"-"https:"-"CNR-IBSBC" PhD positions at University of Twente
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to advance predictive, data-driven production and materials planning incorporating the high variability in high-mix, low-volume (HMLV) manufacturing environments. This position is part of an Industrial
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, exposing the limitations of current detection timelines. This reactive posture is worsened by a visibility gap in the DNS ecosystem. A lack of transparency in registration data, coupled with the short-lived
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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support systems, specifically simulation games and geospatial digital twins. These systems use detailed representations of a real-world environment and its processes by linking to a myriad of data and
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multiple sclerosis—leads to impaired movement, unstable gait, and reduced quality of life. This project will develop an adaptive stimulation interface that uses real-time position-sensor data to estimate
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Navigators. The academic supervision team includes Dr. Engin Topan and Dr. Rob Benthuis. MULTIPLIER integrates operational data, optimization, and hybrid AI into a decision-support environment that advises
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fabrication of MEMS devices. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before 12 January 2026, and include: A Curriculum
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potential recovery-enhancing interventions. You will also help refine the experimental setup for stable long-term measurements, analyze large-scale electrophysiological and imaging data, and collaborate
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model to describe intra-wave cross-shore sand transport and morphodynamics (e.g. OpenFoam). The model will be validated using lab and field data. Finally, the research model will be used to inform
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of the analyte molecules. Surface chemistry (basics) Data analysis Measurement automation Scientific writing Soft skills (presentation skills, time management, teamwork) Supervision of students and teaching skills