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immunotherapies for cancer patients with brain metastasis. Our group works at the interface between immunology and cancer biology combining the use of preclinical models of cancer and human samples with state
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, online websites, and images, as well as methods for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction
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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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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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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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interdisciplinary character. The Faculty of Humanities, Education and Social Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and
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, our SW Simulators, and our facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate is expected to assume a key role
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interdisciplinary character. The Faculty of Humanities, Education and Social Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and