Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Portugal
- Germany
- France
- Netherlands
- Spain
- Norway
- Canada
- Australia
- Austria
- Denmark
- Singapore
- Belgium
- Italy
- Poland
- China
- Finland
- United Arab Emirates
- Switzerland
- Czech
- India
- Luxembourg
- Morocco
- Ireland
- Japan
- Romania
- Hong Kong
- Brazil
- Estonia
- Macau
- New Zealand
- Greece
- South Africa
- Cyprus
- Latvia
- Lithuania
- Slovakia
- Bulgaria
- Croatia
- Andorra
- Iceland
- Mexico
- Worldwide
- Kyrgyzstan
- Vietnam
- Europe
- Malta
- Saudi Arabia
- Slovenia
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Science
- Business
- Education
- Mathematics
- Psychology
- Materials Science
- Social Sciences
- Chemistry
- Arts and Literature
- Environment
- Humanities
- Law
- Linguistics
- Earth Sciences
- Electrical Engineering
- Sports and Recreation
- Philosophy
- Physics
- Design
- 14 more »
- « less
-
different model sizes and deployment settings. Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods. Conduct
-
in practice conditions, will be modelled as event-like inputs that perturb the system and whose effects unfold over time. Time-independent predictors, including cognitive abilities, personality traits
-
, or artificial intelligence. Knowledge of control systems, system modelling, and data-driven modelling approaches. Proven ability to discretise continuous-time models and implement real-time estimation algorithms
-
such as basic quantum mechanics, solid-state physics, lattice models of interacting spins, fermions, or bosons, many-body quantum systems, and state-of-the-art diagonalization techniques. Knowledge
-
the group of dr Jacek Herbrych (https://jacekherbrych.github.io ) within project NCN SONATA BIS 13 2023/50/E/ST3/00033 entitled “Properties of low-dimensional quantum systems with charge, spin, and orbital
-
computational electromagnetics and electromagnetic simulation techniques. Experience in AI-based RF transistor modelling is highly desirable. Solid knowledge of machine learning algorithms and their application
-
/Qualifications Strong knowledge of mathematical modeling and numerical methods Experience in computational fluid dynamics and pipeline transport modeling Proficiency in programming and scientific computing (e.g
-
Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 18 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
-
-5/P, TROPOMI) with numerical modeling to monitor air quality and environmental risks. Key objectives include developing high-resolution maps for atmospheric pollutants (CO, NOX, SO2, NH3, OCS, CH4