72 high-performance-quantum-computing-"https:"-"https:"-"Univ" PhD positions in Netherlands
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of Technology Mathias Peirlinck creates 'digital twins' of the human heart: personalised computer models that map the functioning of each unique human heart. This work paves the way for the development of more
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implementation topology and its power, performance and area. Collaborate with team members in NanoComputing Research Lab. Communicate clearly, both written and verbal. Publish research findings in high-impact
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energy minimization. In this project, you will further explore and exploit the potential of ONNs performing sense and compute functions. Some of your responsibilities will include: Design and develop
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Experience with viral genomics, phylogenetics, Bayesian or likelihood-based inference, infectious disease modeling, or high-performance computing. Our offer a position for 18 months, with an extension to a
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like Geolab and Earth Simulation Lab , and to excellent high-performance computing facilities. We are a lively department that hosts an active early career community (PhD-students, researchers and
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linguistics / sociolinguistics / cultural evolution. Experience in designing and conducting iterated learning, dyadic communication, or artificial language learning experiments. Experience in computational
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PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
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in the field of educational sciences, with a focus on GenAI, reading comprehension, feedback, and self-regulated learning (SRL). This 4-year PhD project is situated within a broader research programme
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devices that can operate in confined anatomical environments and interact with biological tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices
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to what extent data poisoning attacks can influence the output of LLM models in security and safety critical infrastructure. 3. Perform the attack under different scenarios and model the impact. 4. Evaluate