Sort by
Refine Your Search
-
- 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
-
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
-
About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine
-
poisoning attacks in machine learning training pipelines, and developing privacy attacks and privacy auditing methods to understand the privacy leakage of ML models. The postdoctoral candidate will perform
-
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
-
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
-
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
-
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
-
the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines
-
-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the