Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Harvard University
- Nanyang Technological University
- UiT The Arctic University of Norway
- National University of Singapore
- University of Stavanger
- Nature Careers
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Cornell University
- INESC ID
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of South-Eastern Norway
- Cranfield University
- LINGNAN UNIVERSITY
- Macquarie University
- NTNU Norwegian University of Science and Technology
- The University of Queensland
- Trinity College Dublin
- UCL;
- UNIVERSITY OF SURREY
- University of Bergen
- ADELAIDE UNIVERSITY
- AbbVie
- Amgen
- Barnard College
- CICERO Center for International Climate Research
- CRANFIELD UNIVERSITY
- CSIRO
- Carnegie Mellon University
- Central Michigan University
- Cranfield University;
- Duke University
- Flinders University
- James Cook University
- Johns Hopkins University
- King's College London
- King's College London;
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- Oxford Brookes University;
- THE UNIVERSITY OF HONG KONG
- The University of Alabama
- The University of British Columbia (UBC)
- UNIVERSITY OF SOUTHAMPTON
- Umeå universitet stipendiemodul
- University of Agder
- University of Birmingham
- University of Birmingham;
- University of California, San Francisco
- University of Cincinnati
- University of Denver
- University of Michigan
- University of Otago
- University of Texas at Austin
- University of Tübingen
- Vrije Universiteit Brussel
- Yeshiva University
- Łukasiewicz PORT
- 48 more »
- « less
-
Field
-
completion) in computer science, electrical engineering, AI, machine learning, remote sensing, robotics, or a closely related discipline. Demonstrated expertise and research track record in deep learning and
-
Deviations” (TOMABOLD), funded by the Research Council of Norway. The PhD position will focus on the large deviation analysis of probabilistic models, and associated problems in PDE, with emphasis
-
environments will provide the successful candidate with opportunities to learn from a large network of talented professionals. Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL
-
The candidate should have obtained / been conferred a PhD degree or an equivalent qualification in Materials Science, Mechanical / Applied Mechanics, Physics, Computer Science, Data Science, or a closely related
-
of faculty supervisor, develop novel techniques incorporating machine learning in particle physics event generators. Contribute to the development of machine learning driven techniques in the Pythia 8 event
-
modelling, machine learning, growth mixture modelling). Excellent skills in statistics and advanced quantitative data analysis, including strong skills in command driven programming languages (e.g., STATA, R
-
, Blindern, Oslo. This position is part of the research project “Towards Matching Bounds in Large Deviations” (TOMABOLD), funded by the Research Council of Norway. The PhD position will focus on the large
-
. Demonstrated experience applying machine learning and AI-based approaches to empirical disease, ecological, or biological datasets, with an emphasis on pattern identification, prediction, or spatial risk mapping
-
scattering data. Ability to perform the essential functions of the job with or without reasonable accommodation. Preferred Qualifications Solid-state synthesis experience. Computer programming skills. Ability
-
intersection of machine learning, crop genetics, and biological data science, contributing to high-impact research that supports accelerated crop improvement and strengthens Australia’s agricultural industries