Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Australia
- Singapore
- Canada
- France
- Spain
- Austria
- Sweden
- Switzerland
- Netherlands
- Belgium
- Poland
- Denmark
- Morocco
- Japan
- Italy
- United Arab Emirates
- Finland
- Hong Kong
- Malta
- Portugal
- China
- Luxembourg
- New Zealand
- Egypt
- Saudi Arabia
- Andorra
- Croatia
- Czech
- Greece
- Norway
- Romania
- Armenia
- Brazil
- Estonia
- Slovenia
- South Africa
- 29 more »
- « less
-
Program
-
Field
-
learn to develop algorithms to solve engineering problems, and the implementation of those algorithms in the C language. This course will include using C program for embedded devices for interacting with
-
algorithms, system design, discrete mathematics and optimization, machine learning, natural language processing, generative AI, and AI engineering. Candidates must have some proven research record and/or
-
, computer vision, pointcloud-processing or machine learning is a plus Analytical mindset and experience in algorithm development Enthusiasm for mobile robotics Fluent in English or German What you can expect
-
: Course number and title: MIE1622H – Computational Finance and Risk Management Course description: The objective of the course is to examine the construction of computational algorithms in solving financial
-
problems and have published research in this field. You possess excellent knowledge of constraint programming and evolutionary algorithms for scheduling. A high level of motivation and commitment
-
learning algorithms This position is designated as a critical or security-sensitive position; therefore, the incumbent must successfully complete a Criminal History Check and be determined to be position
-
communication Autonomous driving algorithms and technologies (e.g. vehicle control, path planning, scheduling) and sensors (e.g. lidars, radars, cameras, and GNSS) High-level integration of autonomous driving
-
unsupervised learning methods & (2) developing novel algorithmic approaches to advance diagnostic, prognostic, and treatment strategies in cancer. In addition, the individual will be asked to develop computer
-
or hands-on lab environments. Having taken Data structures, algorithms, Theory of computation courses with a good grade Modes of Work Hybrid The work requirements allow both onsite and offsite work and an
-
courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer interaction, as well as participate in the full range