This workshop, part of the larger ICML conference, aims to bring together interdisciplinary machine learning researchers working in areas such as computational genomics; neuroscience; metabolomics; proteomics; bioinformatics; cheminformatics; pathology; radiology; evolutionary biology; population genomics; phenomics; ecology, cancer biology; causality; representation learning and disentanglement to present recent advances and open questions to the machine learning community. They especially encourage interdisciplinary submissions that might not neatly fit into one of these categories.
Carol Prives Named Recipient of 2021 AACR-G.H.A.
Clowes Award for Outstanding Basic Cancer Research
The American Association for Cancer Research has recently named Carol Prives the recipient of the 2021 AACR-G.H.A Clowes Award for Outstanding Basic Cancer Research.
Immunological memory is a complex system that is highly dynamic in time and space, involving multiple cell populations that compete, self-renew, turn over, and shift in phenotype and repertoire diversity over a person’s lifetime. The Yates group has openings for postdoctoral positions, using mathematical and computational methods to characterize the dynamic structure of T and B cell memory in various settings. Expertise in immunology is an advantage but not required. See more about this opportunity here, or to make an informal inquiry, email [email protected]
Joint Postdoc opening in the ZMBBI and IICD
The Herbert and Florence Irving Institute for Cancer Dynamics, and the Peterka lab at the Mortimer B. Zuckerman Mind Brain Behavior Institute are seeking a highly motivated postdoctoral research scientist to spearhead a collaborative research project focused on the application and development of advanced optical imaging instrumentation and methods for spatially resolved tissue imaging and -omics primarily in tumors. The postdoctoral research scientist will oversee developing new approaches to image and interrogate the tumor microenvironment with single-cell resolution. The ideal candidate has prior experience with advanced microscopy and optomechanical integration, as well as image processing and analysis. Please contact [email protected] and [email protected] if interested.
