Sort by
Refine Your Search
-
quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale
-
that these properties covary with genotype. This project aims to (1) assess and understand the potential structure of withdrawal, (2) acquire data from genetically diverse mice under a multitude of conditions, and (3
-
machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
-
machine learning and computational methods Work with medicinal chemists for drug discovery projects Act as key member of a multidisciplinary drug discovery project team, assisting with development
-
, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
-
functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
-
-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
-
learning/AI, and science of science, as well as quantifying art. The BarabásiLab's current work spans the applications of networks toward understanding food and nutrition, human diseases, disease progression
-
responsibilities, but there is an opportunity to teach if desired. The preferred starting date is September 1, 2025. Position Type Research Additional Information Northeastern University considers factors such as
-
eligible for hire as part-time lecturers for the 2027 summer terms on a per-course basis. Responsibilities Postdoctoral Teaching Associates teach 3 in-person courses per semester in First-Year Writing and