Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nord University
- University of Bergen
- UiT The Arctic University of Norway
- INESC TEC
- Max Planck Institute for the Study of Religious and Ethnic Diversity, Göttingen
- Nanyang Technological University
- OsloMet
- OsloMet – Oslo Metropolitan University
- Research Centre on Child Studies
- Rudjer Boskovic Institute
- Stanford University
- The Oslo School of Architecture and Design (AHO)
- UNIVERSITY OF SURREY
- University of Michigan
- University of Stavanger
- Czech Technical University in Prague
- Instituto Politécnico de Coimbra
- Lawrence Berkeley National Laboratory
- Leibniz
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National University of Singapore
- Ohio State University
- OsloMet - storbyuniversitetet
- Queen's University
- Ruđer Bošković Institute
- Tampere University
- Universidade Católica Portuguesa - Porto
- Universidade de Coimbra
- Universitat Ramon Llull Fundació
- University of Antwerp
- University of British Columbia
- University of California
- University of Granada
- University of Inland Norway
- University of Michigan - Ann Arbor
- University of New South Wales
- University of North Carolina at Charlotte
- University of Nottingham
- University of Sussex;
- University of Tasmania
- 32 more »
- « less
-
Field
-
355137 “From Extremal Combinatorics to Algorithms and Back”. About the project/work tasks This project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal
-
statistical physics. Specific Requirements Preference will be given to candidates with experience in research related to machine learning, graph theory, statistical physics, and modeling of stochastic systems
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Field Theory and Mathematical Physics Group, Division
-
measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models
-
. The work will be at the interface between data analysis and theory. We are also open to employing data-driven techniques if the candidate wishes. The ocean is currently evolving with the changing climate
-
research funding. You will supervise PhD students in the preparation of their PhD theses. Education You will teach high-quality academic classes. You will teach the theory and theoretical exercises
-
consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory. We are also open to employing data
-
researchers will be co-advised by UBC professors and Hakai scientists to develop projects that synthesize the information coming in from the monitoring program, as well as provide complementary theory
-
. Documentation of your completed PhD degree must be submitted before commencement. Demonstrated knowledge of pedagogical theory, particularly linked to approaches such as project-based learning, problem-based
-
using simplified models. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory