415 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Netherlands
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD in organisational cybersecurity: End
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identification and machine learning. The key challenge is striking a balance between, on the one hand, modelling the physical, dynamic and nonlinear behavior of the components with sufficient physical accuracy
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Netherlands Application Deadline 19 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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independently, and brings creativity and vision to their work; has excellent project management and organization skills. Knowledge in areas that are relevant to the PhD project (e.g., digitalization, energy
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Interaction (HCI), Artificial Intelligence (AI), robotics, and accessibility, with a focus on inclusive co-creation methodologies for children with autism and eating behavior challenges. Information We invite
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) Country Netherlands Application Deadline 31 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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sectors in a net-zero world https://www.tno.nl/en/newsroom/2025/07/significant-impulse-sustainable-industry/ . This PhD position is part of HyCARB project and it will focus on the development and evaluation
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such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary geospatial or remotely sensed data. Quantifying uncertainty and correcting
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faculty- and university-wide interdisciplinary Research Priority Areas on topics related to the project (e.g., Youth Digitality and Urban Mental Health). The PhD student will be embedded in the program
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programming applications (e.g., experimental design, machine learning for science). We do so by bringing together a diverse team of PhD candidates who will focus on three key areas: Probabilistic and