Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Munich
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- University of Oxford
- Argonne
- University of North Carolina at Chapel Hill
- Duke University
- KINGS COLLEGE LONDON
- Pennsylvania State University
- University of Minnesota
- ;
- Princeton University
- Stony Brook University
- University of California Berkeley
- University of Florida
- University of Miami
- Yale University
- Brookhaven Lab
- Leibniz
- New York University
- Singapore Institute of Technology
- U.S. Department of Energy (DOE)
- University of Central Florida
- Carnegie Mellon University
- Copenhagen Business School , CBS
- Cornell University
- Heriot Watt University
- Northeastern University
- Technical University of Denmark
- Texas A&M University
- University of Houston Central Campus
- University of Lund
- University of Minnesota Twin Cities
- University of Vienna
- University of Washington
- Utrecht University
- Aarhus University
- Cold Spring Harbor Laboratory
- King Abdullah University of Science and Technology
- King's College London
- New York University of Abu Dhabi
- Oak Ridge National Laboratory
- RIKEN
- Rutgers University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- South Dakota Mines
- THE UNIVERSITY OF HONG KONG
- The University of Iowa
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of British Columbia
- University of California
- University of California Irvine
- University of Houston
- University of London
- University of Maryland, Baltimore
- University of Nevada, Reno
- University of North Texas at Dallas
- University of Oklahoma
- University of Texas at Arlington
- University of Twente (UT)
- University of Twente (UT); Enschede
- Virginia Tech
- Wayne State University
- ; Technical University of Denmark
- ; Xi'an Jiaotong - Liverpool University
- AALTO UNIVERSITY
- Aalborg University
- Academia Sinica
- CEA-Saclay
- CNRS
- Canadian Association for Neuroscience
- Case Western Reserve University
- Copenhagen Business School
- Emory University
- Empa
- European Space Agency
- Forschungszentrum Jülich
- Genentech
- Georgia State University
- Ghent University Global Campus
- Heriot-Watt University;
- Imperial College London
- Institut Pasteur
- Johns Hopkins University
- Los Alamos National Laboratory
- Manchester Metropolitan University
- McGill University
- National Aeronautics and Space Administration (NASA)
- New York University in Abu Dhabi
- Purdue University
- Radboud University
- Reykjavik University
- Royal College of Art
- SUNY Polytechnic Institute
- SUNY University at Buffalo
- Sun Yat-Sen University
- Swedish University of Agricultural Sciences
- 90 more »
- « less
-
Field
-
A PhD in immunology or related field with a deep understanding of mucosal immunology is required. Expertise working with primary human cells, intestinal tissues/organoids, murine models of intestinal
-
exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
-
/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and
-
own surveys and secondary data collected by third parties. The ideal candidate for the position will be a recent PhD graduate with a deep interest in this domain who can provide research support in
-
graduation. An excellent academic record, a deep understanding of immunology/immunotherapy (human/mouse) as well as practical experience of immune cell biology, cell culture, gene edition (crispr/cas), flow
-
to implement advanced computational pipelines, including machine learning, deep learning, Bayesian inference, and probabilistic mixed membership modeling for innovative research. · Contribute
-
physical models. However, to achieve reliable results choosing the right methodology and training strategy is a large scientific challenge. Your job In this project, we aim to apply deep learning techniques
-
with health surveillance and related data to estimate climate-attributable risk under Deep Uncertainty. The candidate will also contribute to the development of interactive tools and training materials
-
pathway prediction. Apply deep learning techniques to predict reaction outcomes, optimize reaction conditions, and identify novel synthetic routes. Curate and manage reaction datasets from literature
-
laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data