Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- City of Hope
- EPFL
- Michigan State University
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- South Dakota Mines
- Stanford University
- Baylor College of Medicine (BCM)
- Dana-Farber Cancer Institute (DFCI)
- King Abdullah University of Science and Technology
- Monash University
- National Renewable Energy Laboratory NREL
- New England HERC
- Rutgers University
- Simons Foundation
- THE UNIVERSITY OF HONG KONG
- Xi'an Jiaotong - Liverpool University
- AIT Austrian Institute of Technology
- Anhui University of Science and Technology
- Baylor College of Medicine
- CEA
- Chalmers University of Technology
- ETH Zurich
- Erasmus University Rotterdam
- George Washington University
- Lawrence Livermore National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Mathjobs.org
- OsloMet
- Pennsylvania State University
- Purdue University
- Rochester Institute of Technology
- Ryerson University
- SciLifeLab
- Singapore Institute of Technology
- Singapore-MIT Alliance for Research and Technology
- Stockholm University
- Technical University of Denmark
- Texas A&M University
- Texas A&M University System
- University of California, Los Angeles
- University of Copenhagen
- University of Florida
- University of Leeds
- University of Maryland, Baltimore
- University of Michigan
- University of Nebraska Medical Center
- University of Oslo
- University of Southern Mississippi
- Villanova University
- Westlake University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- 42 more »
- « less
-
Field
-
automated, augmented or unaffected by emerging technologies. Using this data, a classification algorithm is then trained to predict the probability that an occupation in the data-set is automated
-
automated, augmented or unaffected by emerging technologies. Using this data, a classification algorithm is then trained to predict the probability that an occupation in the data-set is automated
-
· algorithm development and implementation · data visualization [CI1] The postdoctoral fellow may work with one of 23 primary mentors, spanning 7 departments
-
algorithm development, and integration and validation on physical robotic hardware. We are looking for a postdoctoral researcher to lead the technical execution of this project, with work performed on-site
-
Python, R, or equivalent, with experience in data analysis, algorithm development, statistics, and machine learning. Experience with multi-omic data integration frameworks, predictive modeling of
-
and proposal development in collaboration with the PI. 80 % 1. Execution of research tasks, including: algorithm and code development, theoretical analysis, development and execution of simulations
-
incorporate the known design information into the imaging process? The primary focus will be on algorithm development, followed by their demonstration at synchrotron experiments. You will start
-
optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research
-
, algorithm development, and software implementation, and will work closely with the PI and with graduate students conducting companion laboratory experiments. There will be opportunities to mentor
-
meetings and seminars, and assist in engineering and writing statistics and deep learning software, statistical and probabilistic data analysis of results, algorithm design, and publication