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into different types of neurons. In this PhD project we will work to further develop these human stem cell-based models as a platform for robust and reliable identification of neurotoxic agents. To achieve
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to very high temperatures. Before injection, fuel is used to cool the walls of the combustion reactor. Some applications go further by using active fuel cooling, based on pyrolysis of the fuel before it is
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. Topp. The project will be part of a collaborative project with a research group at Linköping University (headed by Prof. Fredrik Heintz). This project targets agent-based multi-robot interaction within
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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the areas of Cognitive Psychology, Cognitive Neuroscience, or Industrial-Organizational psychology. Area of methodological expertise is open and could include areas such as, but not limited to, agent-based
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application! We are looking for a highly talented and motivated Ph.D. candidate to join our research team in the cutting-edge area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations
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professional growth for both self and staff. Emphasizing systems thinking, diversity, collaboration, and clinical judgment, the Nurse Manager utilizes evidence-based knowledge to enhance clinical practice. As a
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to cancer therapeutics, target identification, mechanism-based pharmacology, or chemoprevention. We have a special interest in candidates focused on the development of novel agents for cancer-associated pain
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-quality educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with
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interactions among neighbouring agents and their environments. The research will exploit an interdisciplinary approach that combines control theory, nonlinear dynamical systems, robotics, and formal methods