43 algorithm-development-"Prof"-"Washington-University-in-St" Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
-
develop novel computational approaches. Develop mathematical descriptions for the acquired data and work with our theorists collaborators to implement new theories. Integrate with the rest of the lab and
-
elusive, in part due to our limited understanding of the mechanisms of bnAb induction during natural infection. Dr. Williams has been awarded a NIH UM1 grant to develop new vaccine strategies that can
-
for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
-
invites applications for a full-time Postdoctoral Scholar to join an interdisciplinary research team studying environmental exposures and immune system development in children. The Scholar will work closely
-
policies pertaining to other schools at Duke University. The postdoc candidate is expected to: 1) Develop novel methods for incorporating scientific machine learning in solving problems in solid mechanics
-
of the mass spectrometry-based proteomic data generated in our chemoproteomics experiments. The postdoctoral associate will be responsible for developing and optimizing custom data analysis and visualization
-
fellow will play a critical role in developing and scaling automated platforms for long-term mammalian cell culture, including systems for stem cell maintenance and differentiation. These efforts
-
of development economics combined with field experience in LMICs, ideally experience in one or more of the five focal countries for the research (Kenya, Tanzania, Uganda, India, Ethiopia). DESIRED QUALIFICATIONS
-
projects aimed at developing resource responsible, economically viable solutions to challenges in the food production and critical material systems. There will be the opportunity to mentor students, teach