Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- United Kingdom
- Sweden
- Portugal
- Norway
- Singapore
- Italy
- Spain
- Netherlands
- Poland
- Belgium
- Denmark
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Ireland
- Canada
- Estonia
- Austria
- China
- Czech
- Hong Kong
- Japan
- Worldwide
- Finland
- Malta
- Greece
- India
- Morocco
- Switzerland
- Andorra
- Bulgaria
- Cyprus
- Saudi Arabia
- Slovakia
- Armenia
- Brazil
- Europe
- Mexico
- New Zealand
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Chemistry
- Materials Science
- Earth Sciences
- Linguistics
- Humanities
- Business
- Social Sciences
- Physics
- Psychology
- Philosophy
- Arts and Literature
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
. Research Tasks and Training Objectives The doctoral candidate will: Develop numerical and data-driven models for thermoelectric coolers used in on-chip cooling applications Apply optimisation algorithms
-
? No Offer Description Mission: Adapt simulators for electromagnetism, electronics and computer architecture and perform simulations in these areas. Functions to be developed: Provide support for
-
and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
-
in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
-
Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39061 Job Number SE176424 Position Information Department or Unit Name Fowler School
-
of the variability of stars. The analysis will involve processing the photometric time series data into photometric light curves and developing algorithms to quantify the variability of the stars. All data will then
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow to design and develop advanced power
-
training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 17 days ago
scientists developing computational simulations in various fields will be encouraged, in particular with the Gysela code, which is part of the ITER project. The project will first focus on dimensionality
-
candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record