Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Portugal
- France
- Netherlands
- Spain
- Sweden
- Denmark
- Belgium
- Singapore
- Italy
- United Arab Emirates
- Austria
- Norway
- Poland
- Finland
- Romania
- Australia
- Morocco
- China
- Luxembourg
- Canada
- Switzerland
- Hong Kong
- Japan
- Greece
- Brazil
- Croatia
- Czech
- Cyprus
- Estonia
- Malta
- Saudi Arabia
- Taiwan
- Andorra
- Bulgaria
- Ireland
- Israel
- Lithuania
- Armenia
- India
- New Zealand
- Slovakia
- Worldwide
- 35 more »
- « less
-
Program
-
Field
-
work with Benjamin Gyori at Khoury College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students working on the same project, and
-
schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Associate to work on the
-
Requisition Id 15634 Overview: The Data Analytics and Machine Learning (DAML) Group is seeking an exceptional mathematician to work on the development of rigorous theory and algorithms needed
-
Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python
-
networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
-
National Institute for Research and Development in Microtechnologies - IMT Bucharest | Romania | 28 days ago
Specific conditions necessary for the job:Experience in developing electronic applications for sensor interfacing and in implementing algorithms using FPGA technologies.Basic knowledge of telecommunications
-
, Atmospheric and Oceanic Sciences, Geosciences, Computational Science and Engineering, or a related area is required.The position will involve developing models and algorithms for the evolution of inorganic
-
interdisciplinary research on knowledge extraction from social data. Project description The project is in the emerging area of fair social network analysis. In today’s algorithmically-infused society, data about our
-
of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
-
dimensionality reduction * development of optimization algorithms and numerical modeling procedures * development of simulation models using commercial packages (CST, ADS, HFSS, etc.) * writing technical reports