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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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in this kind of environment will result in models too large to be handled and too instable to be solved. Data-driven approaches need to be used in addition to enrich the physics-based models
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Engineering, Materials Science, Physics, or a related field. Has experience with Discrete Element Method in combination with AI tools relevant to the field Has developed advanced models for segregation in blast
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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
2 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Informatics Political sciences » Public policy Sociology » Social shaping
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Computer science » Programming Technology » Biotechnology Researcher Profile Recognised Researcher (R2) Country Netherlands Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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studies independently, working with diverse datasets, developing algorithms and decision rules, and contributing to the refinement of data-driven intervention strategies. Tasks As a postdoctoral researcher