Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of Oxford
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- ;
- Argonne
- University of North Carolina at Chapel Hill
- Duke University
- Pennsylvania State University
- Leibniz
- New York University
- Princeton University
- Technical University of Denmark
- Technical University of Munich
- University of Miami
- University of Minnesota
- Yale University
- Brookhaven Lab
- KINGS COLLEGE LONDON
- U.S. Department of Energy (DOE)
- University of California Berkeley
- University of Central Florida
- University of Washington
- Carnegie Mellon University
- Cornell University
- King's College London
- Northeastern University
- Texas A&M University
- University of London
- University of Minnesota Twin Cities
- University of Vienna
- Aarhus University
- Cold Spring Harbor Laboratory
- Heriot Watt University
- King Abdullah University of Science and Technology
- National University of Singapore
- New York University of Abu Dhabi
- Oak Ridge National Laboratory
- RIKEN
- Radboud University
- Rutgers University
- South Dakota Mines
- The University of Iowa
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of California
- University of California Irvine
- University of Florida
- University of Houston Central Campus
- University of Lund
- University of Maryland, Baltimore
- University of Nevada, Reno
- University of North Texas at Dallas
- University of Oklahoma
- University of Southern Denmark
- University of Texas at Arlington
- Utrecht University
- Virginia Tech
- ; University of Cambridge
- ; Xi'an Jiaotong - Liverpool University
- AALTO UNIVERSITY
- Aalborg University
- Academia Sinica
- CEA-Saclay
- California State University, Northridge
- Canadian Association for Neuroscience
- Case Western Reserve University
- Chalmers University of Technology
- Copenhagen Business School , CBS
- Durham University
- Emory University
- Empa
- European Space Agency
- Forschungszentrum Jülich
- Genentech
- Georgia State University
- Ghent University
- Imperial College London
- Institut Pasteur
- Johns Hopkins University
- Los Alamos National Laboratory
- Manchester Metropolitan University
- National Aeronautics and Space Administration (NASA)
- New York University in Abu Dhabi
- Purdue University
- SUNY Polytechnic Institute
- SUNY University at Buffalo
- SciLifeLab
- Stony Brook University
- Sun Yat-Sen University
- Swedish University of Agricultural Sciences
- Syracuse University
- The Ohio State University
- The University of Arizona
- The University of Chicago
- Tsinghua University
- University College Cork
- University of British Columbia
- University of California, Merced
- 90 more »
- « less
-
Field
-
assemblages and morphometrics, sedaDNA and the deep microbiological biosphere), as well as applying other dating techniques including radiocarbon, OSL and palaeomagnetics. In addition to having the opportunity
-
Qualifications: Experience with aging populations or neurodegenerative diseases Familiarity with deep learning and advanced statistical approaches to neuroimaging data Prior publications in relevant areas Required
-
project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
-
activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural
-
molecular dynamics and path integral simulation methods, machine learning techniques, and electronic structure techniques. Additional background in statistical mechanics and deep eutectic solvents is highly
-
team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
-
-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
-
for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine
-
on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have
-
Title: Postdoctoral Research Associate - Machine Learning & Advanced Manufacturing Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT-Provost