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Research Fellow will work closely with the Lead PI in carrying out in-depth research to deal with huge volume of real-time rich multi-model data, scalable big data analytics and re-examine the role of man
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models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a
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neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science, and collaborative adventure. Required
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modelling, hybrid modelling and/or machine learning to study ecosystem processes, as well as with handling of big data and/or processing of Earth observation data. Specifically, experience with Python
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Master students (20% of the time) Your profile We will base our selection on the following components: a PhD degree in an area relevant to machine learning and/or statistics prior experience in machine
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges
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, machine learning, data science, drug discovery, and related fields are encouraged to apply. Strong computational backgrounds (AI/ML foundation models), proficiency in at least one programming language
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Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science
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sensing, computer vision, mental health, data fusion, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that
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to University and unit-level policies and procedures and safeguards University assets. Develop various machine learning and data mining models including deep convolutional neural networks (CNNs