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bioinformatics approaches to human-relevant models and unique patient-derived tissue cohorts from colorectal cancer. The aim is to dissect the tumor "ecosystem" with a particular emphasis on epithelial cells
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the choices it offers without overwhelming the person in front of it, and how it can act as a sparring partner that strengthens human judgment instead of quietly replacing it. On the control side, it develops
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for LLM-based systems Human-computer interaction and human factors Trustworthy AI, AI governance and regulation Information Technology Skills: Strong analytical and programming skills are required (Python
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well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv. The successful
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in Python and working with machine-learning frameworks and libraries, e.g., PyTorch, TensorFlow, Hugging Face Strong conceptual understanding of clinical and biomedical research, data standards, and
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, provide an assessment of the application. Please indicate their relationship to you The University of Luxembourg embraces inclusion, diversity and gender equality as essential for academic excellence
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robust AI models that address domain-specific challenges in biomedical applications, with a strong emphasis on neurodegenerative diseases. Your role Act as the core developer for software projects within
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, provide an assessment of the application. Please indicate their relationship to you The University of Luxembourg embraces inclusion, diversity and gender equality as essential for academic excellence
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, provide an assessment of the application. Please indicate their relationship to you The University of Luxembourg embraces inclusion, diversity and gender equality as essential for academic excellence
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, provide an assessment of the application. Please indicate their relationship to you The University of Luxembourg embraces inclusion, diversity and gender equality as essential for academic excellence