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- Machine Learning in Biophysics About the Opportunity The SymBioSys Lab (www.simbiosyslab.com ) is seeking an independent and creative postdoctoral associate to support research on computational modeling
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intereactions in the broad field of glycoprotein-based therapeutic design. Strong background and experience with applications of machine learning (especially Explainable Artificial Intelligence – XAI) is required
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machine learning, statistical/mathematical modeling, and/or decision theory expertise. To learn more about the work in the group, check out the group website: https://imani.lab.northeastern.edu
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expected to have strong machine learning, statistical/mathematical modeling, and/or decision theory expertise. To learn more about the work in the group, check out the group website: https
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disorders. Many of the statistical techniques emphasized in the lab span disciplines such as network theory, dynamical systems, and machine learning, among others. Accordingly, the objectives of the lab
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required. Experiences in hardware security and trust or cybersecurity are preferred. Proficiency with EDA tools, machine learning tool kits, and strong programming skills are preferred. Position Type
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graph theory, network analysis, and/or machine learning modeling confer a significant advantage. This is a two to three year term position with opportunities for training in human systems neuroscience
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prototyping using HTML/CSS and JavaScript, along with knowledge of related libraries and frameworks such as React.js, D3.js, Material.UI, and Bootstrap (or a strong willingness to learn them). Additionally
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the Opportunity Conduct research on machine learning and control theory as part of a MURI grant. The work will combine tools from dynamical systems, control theory, and the theory of algorithms and
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prototyping using HTML/CSS and JavaScript, along with knowledge of related libraries and frameworks such as React.js, D3.js, Material.UI, and Bootstrap (or a strong willingness to learn them). Additionally