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of the liver to resolve inflammation and restore tissue homeostasis. The PhD will focus on developing a robust, microfluidic platform for in‑depth analysis of liver - immune cell interactions. For more
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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Supervisor: Dr Tim Halim Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research-groups
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and research interests, the project may focus on one or more topics such as cyber risk assessment, human–machine interaction, cyber risk communication, cybersecurity training, or organizational and
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 19 hours ago
computing and life sciences. We offer a highly interactive introductory program in a supportive peer-group environment supervision by a top scientist and support of the AITHYRA Faculty a PhD degree awarded by
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employment. Required selection criteria You must meet the requirements for admission according to Section 6-1 of the PhD regulations . You must have a relevant Master's degree in computer science or equivalent
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prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the Doctoral Programme in Computer Scienc e, see Section 6-1 of the PhD
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guide how teams and organisations build quality software. As a PhD Candidate, you will carry out this work within the Software Engineering group at the Department of Computer Science, one of Norway's
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision