Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Munich
- Stanford University
- University of Oxford
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Argonne
- University of North Carolina at Chapel Hill
- NEW YORK UNIVERSITY ABU DHABI
- ;
- Duke University
- New York University
- Pennsylvania State University
- Singapore Institute of Technology
- Technical University of Denmark
- University of Miami
- University of Minnesota
- University of Washington
- Yale University
- Brookhaven Lab
- Leibniz
- University of California Berkeley
- University of Central Florida
- Aarhus University
- Carnegie Mellon University
- Cornell University
- Forschungszentrum Jülich
- Heriot Watt University
- KINGS COLLEGE LONDON
- Northeastern University
- Radboud University
- The University of Arizona
- U.S. Department of Energy (DOE)
- University of California
- University of Florida
- University of Minnesota Twin Cities
- University of Texas at Arlington
- AALTO UNIVERSITY
- Aalborg University
- Chalmers University of Technology
- Cold Spring Harbor Laboratory
- King Abdullah University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- National University of Singapore
- Oak Ridge National Laboratory
- Princeton University
- RIKEN
- Rutgers University
- South Dakota Mines
- Stony Brook University
- Texas A&M University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of British Columbia
- University of California Irvine
- University of California, Merced
- University of Houston Central Campus
- University of Lund
- University of Maryland, Baltimore
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of North Texas at Dallas
- University of Oklahoma
- University of Vienna
- Virginia Tech
- Wayne State University
- ; Technical University of Denmark
- ; University of Oxford
- ; Xi'an Jiaotong - Liverpool University
- Academia Sinica
- CEA-Saclay
- California State University, Northridge
- Canadian Association for Neuroscience
- Case Western Reserve University
- Centre for Genomic Regulation
- Copenhagen Business School , CBS
- Durham University
- ETH Zurich
- Emory University
- Empa
- Escola Superior de Agricultura Luiz de Queiroz/ESALQ/USP
- European Space Agency
- Genentech
- Ghent University
- Imperial College London
- Indiana university Indianapolis
- Institut Pasteur
- King's College London
- Lawrence Berkeley National Laboratory
- Los Alamos National Laboratory
- Manchester Metropolitan University
- Purdue University
- SUNY University at Buffalo
- SciLifeLab
- Sun Yat-Sen University
- Swedish University of Agricultural Sciences
- Syracuse University
- Texas A&m Engineering
- The Ohio State University
- The University of Chicago
- The University of Iowa
- 90 more »
- « less
-
Field
-
from one round to the next, and eventually the library collapses to a few selected functional aptamers. The evolution can be tracked in detail by deep sequencing of the successive rounds. The goal
-
Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
-
infrastructure. These efforts will directly enable innovative data analytical approaches, including federated and deep learning, with a focus on real-world data for rare cancers. This research will directly
-
-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
-
-dimensional probability, concentration and functional inequalities ? Mathematical aspects of machine learning and deep neural networks ? Free Probability aspects of Quantum Information Theory. While excellent
-
inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
-
supported by an external team of deep-learning experts. You will also become an integral part of the Multiscale Cloud Physics Group currently being established by Dr Franziska Glassmeier at the Max Planck
-
Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
-
development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
-
, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded