-
for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
-
beamforming and signal processing methods. The successful applicant will have : A PhD in biomedical engineering or related field Experience in conducting clinical imaging studies Excellent writing and verbal
-
Computer Science and Electrical and Computer Engineering departments, and the School of Medicine. The group emphasizes collaborative and multidisciplinary work and brings together expertise from machine learning
-
for diverse social and homeostatic states. The lab uses a combination of circuit-based strategies and custom engineered designs to investigate how social and non-social salient information is encoded in neural
-
responsibility would, however, be generating cryo-EM samples, performing data collection and processing of cryo-EM data. Setup of future hardware and software as the research technology is upgraded. Providing lab