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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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university-level communication campaigns and PhD Network initiatives including Industry PhD, Dual PhDs, the Interdisciplinary PhD and future niche programs. Qualifications : PhD in learning science or higher
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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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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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. Signal processing: distributed sensing, convex optimization, and deep learning. Hardware design and integration: experiments involving building drones. Applicants should send a brief description of
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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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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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, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. To learn more about Northeastern University's commitment and support of diversity
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other characteristic protected by applicable law. To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity . To apply