Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Spain
- Poland
- Singapore
- United Arab Emirates
- Belgium
- Portugal
- Denmark
- Australia
- Netherlands
- China
- Canada
- Worldwide
- Hong Kong
- Ireland
- Malta
- Romania
- Austria
- Bulgaria
- India
- Andorra
- Croatia
- Greece
- Japan
- Luxembourg
- Armenia
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 27 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Mathematics
- Biology
- Science
- Electrical Engineering
- Materials Science
- Business
- Chemistry
- Earth Sciences
- Humanities
- Physics
- Psychology
- Environment
- Linguistics
- Philosophy
- Social Sciences
- Arts and Literature
- Design
- Education
- Law
- Sports and Recreation
- 14 more »
- « less
-
sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and
-
, funded by FAR 2024 UNIMORE linea FOMO, and aims to develop authenticity models through environmentally friendly analytical techniques combined with data processing and machine learning algorithms
-
, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
-
and Algorithms group. The post holder will contribute to the intellectual life of the School through conducting and publishing outstanding quality research, engaging in high quality teaching, and
-
to mitigate problems with underwater communication channels. Develop advanced signal processing algorithms for dynamic optical links. Program simulators and simulations with Python and MatLab. Write scientific
-
in computing research and education. Its faculty have pioneered advances in areas including programming languages, hardware design, algorithms, databases, security and privacy, bioinformatics and
-
models and algorithms in Python, with documented experience in PyTorch. The applicant should be knowledgeable with neural networks and furthermore have a strong drive towards performing fundamental
-
learning algorithms. • Adapting the method to multiple faults • Using the method to detect corrupt data, or even threats of attacks and intrusions on networks • Carrying out a proof of concept by
-
of algorithms for optimal welding (trajectory and force planning, adaptive parameters for surface/MLI, rapid data analysis: current–voltage–force–SWIR). • Data logging and synchronization, preparation
-
courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science