Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- CRANFIELD UNIVERSITY
- Center for Drug Evaluation and Research (CDER)
- University of Copenhagen
- University of Sydney
- Cranfield University
- Dana-Farber Cancer Institute (DFCI)
- European Space Agency
- King's College London
- Technical University of Denmark
- The University of Queensland
- UNIVERSITY OF SYDNEY
- University of Surrey
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Chalmers University of Technology
- City of Hope
- Florida Atlantic University
- Francis Crick Institute
- Ghent University
- Indiana University
- King Abdullah University of Science and Technology
- Korea Institute for Advanced Study
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Mathjobs.org
- National University of Singapore
- Northeastern University
- Queen's University Belfast
- RMIT UNIVERSITY
- RMIT University
- Singapore Institute of Technology
- UNIVERSITY OF SURREY
- Umeå University
- University of Michigan
- University of Otago
- University of Sheffield
- 27 more »
- « less
-
Field
-
Research Fellow in Quantitative Analysis of Economic Impacts of Ultra-Processed Foods who has: PhD in Economics, Mathematical Sciences, Comp u ter Science, Environmental Science (with a quantitative foc u
-
doctoral level in a relevant subject and have experience of research in plant and soil science using both qualitative and quantitative methods. You will have some experience in mathematical modelling and
-
, computer science, or a closely related discipline. Demonstrated research experience in quantum information theory, supported by a strong understanding of the mathematical foundations of quantum
-
network failures). You have excellent coding skills and hands-on experience with programming languages like Python and C++, as well as familiarity with wireless network simulation tools (e.g., ns-3) or
-
doctoral level in a relevant subject and have experience of research in plant and soil science using both qualitative and quantitative methods. You will have some experience in mathematical modelling and
-
algorithms and data structures, and solid programming skills. A background in one or more of: machine learning, reinforcement learning, combinatorial optimization, operations research, or distributed systems
-
research. Strong statistical programming skills, preferably in R. Experience using Git and GitHub/GitLab for version control and collaborative development of reproducible statistical code and analysis
-
biological and medical research questions. Strong expertise in (Bayesian) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies
-
integration, etc.. Participation in these projects will include scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc.. Minimum Qualifications A Ph.D. in computer
-
mesocosm experiments. You will be measuring greenhouse gas fluxes using advanced methods for gas detection in the field and laboratory, including stable isotope techniques, and deploy mathematical and