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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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models, attention mechanisms, and foundation models. 3) Time-Series Analysis : Specializing in modeling, forecasting, and anomaly detection to address complex real-world challenges. The successful
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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cases. This position is focused on advancing the capabilities of LLMs to address complex problems within specific scientific domains, with an emphasis on climate risk assessment and analysis. As part of a
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models for inflammatory bowel diseases using primary cells from biopsy samples. Innovative development of complex co-culture systems combining patient-derived organoids with autologous immune cells
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principles and construct instrumentation. Knowledge – Skills – Abilities Required knowledge: optics, light safety, mathematics, statistics, documentation, records management, data utilization, complex problem
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clinicians, who explore the complex social determinants of health, illness and ageing in a global perspective. About the role We are looking to appoint an enthusiastic and highly motivated individual who will
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we
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Computational Neuropsychology and Affective Neuroscience Lab, directed by Dr. Stacie Warren, is seeking a Research Associate (Postdoctoral Fellow) eager to apply mathematical modeling to advance understanding
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics