Sort by
Refine Your Search
-
the Netherlands may be eligible for a substantial tax break. For more information, see our website:Working at Leiden University , Application process and working conditions All our PhD candidates are embedded in
-
technology developers and stakeholders. Conducting prospective environmental impact assessments (LCA PhD) or dynamic MFA and circularity analyses (MFA PhD). Collaborating with consortium partners on data
-
technology developers and stakeholders. Conducting prospective environmental impact assessments (LCA PhD) or dynamic MFA and circularity analyses (MFA PhD). Collaborating with consortium partners on data
-
mining has allowed us to obtain insights from large amounts of data for decades, and it is worth revisiting ideas and concepts from this field for the purpose of interpretable machine learning. Pattern
-
in day-to-day behavior. This long-term study will involve collecting behavioral, physiological, and brain measurements over several years from a large cohort. As a PhD student in a new domain of
-
) Project Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
-
interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
-
Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
-
are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
-
to collaborate with other research groups at LIACS; for example, data science, text mining, and algorithms. LIACS has an active PhD community that organizes seminars and social events specifically for PhD students