8 parallel-computing-numerical-methods "Multiple" Postdoctoral positions at Purdue University
Sort by
Refine Your Search
-
Listed
-
Field
-
extensive epigenetic, genetic, and phenotypic data, applying cutting-edge analytic methods to uncover the biological underpinnings of mental health. You will contribute significantly to the Dunn Lab’s
-
position is based on the Indianapolis campus location. Remote options, with frequent travel to campus, may be available. We are recruiting multiple postdocs to join our team in this role. Responsibilities
-
decision science, psychology, communication, political science, sociology), or a technology-related field (e.g., computer science, industrial engineering) conferred by the expected start date Substantial
-
simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the
-
and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
-
platform for launching an independent academic career focused on AI and the future of scientific practice. Responsibilities Build and maintain computational data pipelines to collect and structure evidence
-
communication skills. Strong attention to detail and good organizational skills. Strong desire to work in a collaborative research program. Interested candidates should email Professor Michael Manfra at mmanfra
-
-reviewed publications and contributing to the development of funded research. Preferred: An engaged scholar with experience in grant writing and program building. Application Procedure Applicants must submit