Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- France
- United Kingdom
- Portugal
- Netherlands
- Norway
- Germany
- Spain
- Belgium
- Italy
- Poland
- Sweden
- Australia
- Canada
- Denmark
- Finland
- United Arab Emirates
- Austria
- Switzerland
- Luxembourg
- Ireland
- Morocco
- China
- Japan
- Hong Kong
- Mexico
- Romania
- Brazil
- Cyprus
- Czech
- Greece
- India
- Saudi Arabia
- Slovenia
- Bulgaria
- Croatia
- Estonia
- Europe
- Iceland
- Lithuania
- Malta
- 32 more »
- « less
-
Program
-
Field
-
developing algorithms for robot navigation, path and trajectory planning, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware
-
of Technology’s campus in Luleå. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems
-
the sole discretion of the University. Essential Duties and Responsibilities include the following. Other duties may be assigned. 1. Research, develop, validate, and deploy AI models, algorithms, and data
-
investigate how algorithmic requirements, This is a full-time, fixed-term position for up to 36 months, with the precise end date subject to confirmation. The role is based in the School of Engineering at
-
the industry, such as administrative automation, predictive analytics, and algorithms specific to diagnoses and treatment Strong communication skills, including creating feedback and communication that is clear
-
1 Aug 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique théorique et hautes énergies Research Field Computer science Mathematics » Algorithms Researcher Profile
-
, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
-
collected by the ITk will be a major challenge due to the extremely high combinatorics involved in the high-luminosity conditions of the HL-LHC. Without significant improvements in reconstruction algorithms
-
in tropical regions; analyze links between macrofauna and soil carbon; build/validate scoring algorithms using machine learning/cumulative functions. Outputs – Lead scientific, technical, and policy
-
lead to better-behaved inverse problems. These mathematical insights will subsequently be translated into computational algorithms for inversion, uncertainty quantification and experimental design. The