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20 Feb 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electronic engineering Researcher Profile
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integrate innovative methods and automation into fungal research, advancing how we visualize, quantify, and interpret the hidden dynamics of mycorrhizal fungi. This enhances not only our mechanistic insights
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the position Hands-on hardware experience Experience in the development and verification of space hardware Experience with the design, development and application of relevant tools and methods Understanding
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, to achieve spatial understanding and cross-modal representation learning from heterogeneous sensor data, with the research not limited to these methods. This research will support semantic interpretation
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. The focus will be on enriching statistical methods through advanced machine learning techniques, for instance, by learning latent representations of the data. In addition to utilizing such techniques
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the domain of AI and optimisation, and develop methods to defend against such harms by leveraging cryptographic approaches. To this end, you will: 1. Investigate how to adapt existing adversarial attacks
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throughout the early phases of missions, including participation in CDF and phase A/B1. The Team also provides expertise to other projects and studies, including research and development of tools and methods
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for space applications; Leading the centre of excellence for advanced simulation methods including scientific data processing and databases, software applications including human-computer interfaces, support
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and analysing general Computer Vision methods, using real-world image data as a challenging experimental setting. Research focus The PhD will address open research questions in Computer Vision related
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if you have any of the following: Prior experience with inverse modeling or parameter estimation. Experience in microscopy or microfluidic lab environments. Experience with open-source codes