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to fulfill, be sure to check what these are before you apply Assessment criteria and other qualifications This is a career development position primarily focused on research. The position is intended
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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of cybersecurity and AI, i.e., attacks and defenses leveraging AI solutions, or attacks and defenses within AI solutions (e.g., backdooring, model poisoning, membership inference), cybersecurity of generative AI
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of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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and friendly colleagues in an international environment? Are you seeking an employer that offers safe and favorable working conditions? If so, check out the following PhD position at Uppsala University
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model
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Professor in Theoretical Computer Science at LiU. The research for the advertised position will be within the WASP PhD project ”Model-Based Attention for Scalable AI Planning ”, where we will integrate
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well as modelling strategies to answer fundamental biology issues with advanced light microscopy data. The lab’s research scope ranges from reinforcement learning for drug design, interpretable ML pipelines