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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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II is looking for a part-time (30 hours per week) PhD-Position: Machine Learning / Medical Imaging (m/f/x) (with immediate effect). This position is offered for a duration of 3 years. Join the AICARD
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
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event offers a unique window into life as a quant. You’ll dive into topics like options theory, data + machine learning while seeing how cutting-edge research connects to real-world trading. Throughout
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two full years of a PhD program in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Machine Learning, Operations Research, or Economics. Please
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innovation in statistics, bioinformatics, health research informatics, and AI/machine learning, with a focus on applications to clinical, translational, and population health research. The successful candidate
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accordance with the Boston University Postdoctoral Compensation Guidelines and the Postdoctoral Scholars Policy. To be considered, applicants must hold a PhD in epidemiology, biostatistics, computational
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Assistant Professor faculty position to begin in October 2025. We seek excellent candidates whose research interest is in Heritage Science, with needs in AI/machine learning, digital restoration of artifacts
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prepared to teach in more than one of the following areas: auditory anatomy and physiology, clinical diagnostic audiology, pediatric audiology (auditory development, disorders, assessment, and habilitation