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systems. The position offers an exciting opportunity to engage in cutting-edge research that addresses both theoretical challenges and practical applications. Key Responsibilities: Develop innovative
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shape the immune microenvironment of brain metastatic tumors, with the long-term goal of developing novel personalized immunotherapies for cancer patients with brain metastasis. The TCI group works at
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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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with the Vice-Rector and collaborating extensively with a wide array of internal and external stakeholders, the Advisor will develop and implement strategies and initiatives to advance the University’s
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developments. Dedicated support from highly skilled specialists in bioinformatics and statistics, helping you strengthen your research with cutting-edge analytical approaches. Access to state-of-the-art
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established, the research group focuses on understanding how genetic alterations in cancer cells shape the immune microenvironment of brain metastatic tumors, with the long-term goal of developing novel
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the fabrication will be performed by specialists in the clean lab. You will leverage and develop your expertise to generate new knowledge on leaf thermodynamic processes based on continued literature study
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials
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required to perform the following tasks: Act as the main contributor to an open-source project related to AI system evaluation, with the aim to develop it into a real product and foster a user and