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. Candidates with experience across all areas of artificial intelligence and machine learning will be considered. Preference will be given to candidates with the ability to teach courses in statistics
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all areas of artificial intelligence and machine learning will be considered. Preference will be given to candidates with the ability to develop and teach courses in deep learning, computer vision
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discovery. Our mission is to transform bold scientific ideas into advances that improve human health. In this context, the Funke lab develops machine learning methods to accelerate scientific discovery with
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independently and collaboratively within a research team. Preferred Qualifications: Experience with machine learning/deep learning frameworks. Experience analyzing physiological or time-series data
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: Experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineering, Data Management, and Analysis. Cloud computing experience. Familiarity
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in these areas is required. Preferred Qualifications: Prior experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineer, Data
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representations to mechanisms of human disease. Your work will sit at the intersection of machine learning, computational biology, and human genetics, with opportunities to lead methodological innovation
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experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise : Familiarity with causal machine learning, ensemble methods, and deep learning architectures (CNNs, RNNs). Experience
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and quantitative methods. In close collaboration with data scientists, you will also contribute to the development and validation of machine-learning approaches for estimating user state and to the
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and quantitative methods. In close collaboration with data scientists, you will also contribute to the development and validation of machine-learning approaches for estimating user state and to the