Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- National Renewable Energy Laboratory NREL
- Oak Ridge National Laboratory
- Northeastern University
- ETH Zurich
- Texas A&M University
- University of Oslo
- University of Oxford
- ;
- Carnegie Mellon University
- Brookhaven Lab
- Harvard University
- Princeton University
- Yale University
- Argonne
- Medical College of Wisconsin
- University of Bergen
- University of Liverpool
- University of Lund
- University of Adelaide
- University of London
- University of Sydney
- Cornell University
- HHMI
- Nature Careers
- The University of Queensland
- University of British Columbia
- Duke University
- Indiana University
- University of Exeter
- Lawrence Berkeley National Laboratory
- Rutgers University
- Virginia Tech
- Baylor University
- Cedars Sinai Medical Center
- City of Hope
- Empa
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- The University of Iowa
- UNIVERSITY OF ADELAIDE
- UiT The Arctic University of Norway
- University of Florida
- University of North Carolina at Charlotte
- University of Texas at Austin
- Uppsala universitet
- CNRS
- Durham University
- Karolinska Institutet
- Lunds universitet
- Macquarie University
- NTNU - Norwegian University of Science and Technology
- The University of Alabama
- The University of Arizona
- Umeå University
- University of Amsterdam
- University of Kentucky
- University of Nebraska Medical Center
- University of Stavanger
- University of Texas at Arlington
- ETH Zürich
- George Washington University
- Institut Pasteur
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- Stony Brook University
- University of Copenhagen
- University of Helsinki
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of New South Wales
- University of North Texas at Dallas
- University of Southern California
- University of Tennessee Health Science Center
- University of Washington
- University of Waterloo
- Université de Strasbourg
- Uppsala University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aarhus University
- Auburn University
- Baylor College of Medicine
- Brookhaven National Laboratory
- CNRS - National Center for Scientific Research
- Case Western Reserve University
- Chalmers University of Technology
- Cold Spring Harbor Laboratory
- Columbia University
- Genentech
- Ghent University
- Gladstone Institutes
- KU Leuven
- Karolinska Institutet (KI)
- Leiden University
- Medical Research Council
- Montana State University
- Nanyang Technological University
- Pennsylvania State University
- Stanford University
- Stockholm University
- 90 more »
- « less
-
Field
-
chemical research, developing and implementing novel methods for interpretable, safe, and aligned machine learning systems. You should possess a PhD or DPhil (or near completion of) in Machine Learning. You
-
fields both locally (field by field) and regionally (groups of fields). Data driven analyses will be complemented by physical reservoir modelling, with machine learning approaches to extract correlations
-
We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
-
, operation, control, and security. Required Knowledge, Skills, and Abilities: A PhD. with a broad knowledge of electric power systems. Demonstrated background in artificial intelligence (AI)/machine learning
-
both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1st
-
PhD degree, or a foreign degree equivalent to a PhD degree, in physics, materials science, computer sciences, or a similar area of science. The degree needs to be obtained by the time of the decision
-
Genome instability is a hallmark of inherited human disorders and age-related diseases such as neurodegeneration and cancer. Eukaryotic genomes are replicated by complex molecular machines called
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Physics, Electrical Engineering, Material Science or closely related field in hand
-
production; to further develop and calibrate algorithms for tagging boosted Higgs boson decays; to explore novel applications of machine learning to particle physics data analysis and detector hardware; and to
-
engineering, applied mathematics, physics, or related field with an evidence of understanding nuclear nonproliferation and/or the nuclear fuel cycle. Experience applying machine learning techniques to problems