Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Rutgers University
- Cornell University
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- Stony Brook University
- University of Washington
- Duke University
- Nature Careers
- SUNY Polytechnic Institute
- University of Utah
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Denmark
- University of Texas at Dallas
- Baylor College of Medicine
- Georgia Institute of Technology
- Indiana University
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Renewable Energy Laboratory NREL
- North Carolina A&T State University
- Oak Ridge National Laboratory
- Singapore-MIT Alliance for Research and Technology
- UNIVERSITATEA DE MEDICINA SI FARMACIE IULIU HATIEGANU
- Universidade do Algarve
- University of Cambridge;
- University of Miami
- University of Nevada, Reno
- University of Oxford
- University of Oxford;
- University of Texas at Arlington
- Zintellect
- 21 more »
- « less
-
Field
-
predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
-
, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding
-
to create a space where scientific discovery in cancer research is transformed into benefits for human health. In collaboration with the Department of Molecular Human Genetics at Heidelberg University
-
Functions: Empty heading * Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR) and genetics data which are measured by longitudinally and
-
testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
-
) and genetics data which are measured by longitudinally and cross-sectionally. • Developing and applying machine learning and AI approaches to identify interactive topological relationships
-
techniques, including virus propagation, titration, and genetic manipulation of rotavirus, caliciviruses, and enteroviruses. Conducts AAV transduction experiments for gene delivery in relevant cell models
-
networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
-
Department/Location: Department of Genetics Applications are invited for a Postdoctoral Research Associate position to work in the group of Dr Felipe Karam Teixeira (https://www.gen.cam.ac.uk
-
viruses with zoonotic potential. Using data provided by USDA influenza A virus surveillance systems: genetic evolution of IAV will be quantified; genetic predictors of influenza host range and virulence