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Published Tuesday 16 Sep 2025 Deadline Saturday 1 Nov 2025 Work area PhD Organisational unit Erasmus School of Social and Behavioural Sciences (ESSB) Salary € 3.059 - € 3.881 Employment 1 fte - 1
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evaluate them alongside newly developed approaches. Integrating methods such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary
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Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C++); Proven interest in
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simulations. Job Description Are you passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges? We're seeking a PhD candidate to develop innovative
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lead to better and fairer outcomes—challenges such as cognitive overload, uncalibrated (dis)trust in AI, and unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project
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position within a Research Infrastructure? No Offer Description We are seeking an enthusiastic and motivated PhD candidate with a strong interest in microfluidics, hardware development and NMR spectroscopy
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the outcomes of SCC surgery. Job Responsibilities: As a PhD candidate, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and healthy tissues using both
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(or equivalent) in Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C
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several key academic and industrial partners. You will be part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group
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part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group. Curious to learn more about the project, and perhaps our