Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- University of Oslo
- University of New South Wales
- Monash University
- University of Sheffield
- Aalborg University
- Argonne
- EPFL
- INAF-Osservatorio Astronomico di Trieste
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institut national de l'information géographique et forestière IGN
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Radboud University
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Alabama at Birmingham
- University of Birmingham
- University of Glasgow
- University of Nottingham
- University of Utah
- Zintellect
- 12 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for multiple-object tracking," IEEE TPAMI, 2022. 4. L. Vaquero, Y. Xu, X. Alameda-Pineda, V. M. Brea, and M. Mucientes, "Lost and found: Overcoming detector failures in online multi-object tracking," ECCV, 2024
-
for mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science
-
for mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science
-
, Combinatorics, Geometry, Mathematical Physics and Number Theory, Bayesian and Monte Carlo Methods, Mathematical Modelling and Biomathematics, Quantum Mathematics, Biostatistics and Ecology, Computational
-
, together with experience in uncertainty quantification, Bayesian inference, or probabilistic risk assessment. Background knowledge in fault detection and diagnosis, condition monitoring, or health management
-
for Industry and Risk Management" CAP (Collaborative Acceleration Program) initiative, from the PostGenAI@Paris hub coordinated by Sorbonne Université. Objectives: The project addresses a central challenge in
-
the same systematics identified in the observables. d) Estimation of cosmological and “nuisance” parameters using Bayesian methods. 4. The research activities provided for the post-doc assignment will
-
to maintain high label efficiency in non-stationary environments, supported by reproducible benchmarks and principled evaluation protocols. Key Objectives O1: Drift-aware querying: Develop acquisition functions
-
institution. In these cases, the faculty participant and the mentor must develop a communication/mentoring plan to ensure that program objectives are met. The Agricultural Research Service (ARS) is the U.S
-
research proposal (hf.uio.no ) stating how they intend to address the central research questions and offer theoretical and methodological approaches to attend to the project’s objectives. Preference will be