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Field
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computing? Then join QuBriC, a pan-European doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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strategies that are robust with respect to perturbations and capable of balancing multiple competing performance criteria. Information Uncertainties are inherent in many engineering design problems and can be
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nanoparticle uptake, transfection, and biological performance in 2D cell culture and relevant in vitro 3D tissue models. Integrate physicochemical and biological data to identify design principles governing
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken
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, gaining hands-on experience in cutting-edge AI research. What You'll Do Support research projects in NLP and LLMs, including data collection, annotation, preprocessing, and analysis Assist in implementing
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken
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fieldwork with diverse actors, from cultural and creative sectors to policymakers and informal communities. Information This PhD position is part of the Horizon Europe project UnEXTRA ("Uncovering a new
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. The applicant will need to meet the minimum eligibility criteria for admission Application Procedure Interested applicants should send an email expressing their interest along with scanned copies