Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- United Kingdom
- Germany
- France
- Sweden
- Norway
- Canada
- Spain
- Netherlands
- Denmark
- Poland
- Belgium
- Austria
- Australia
- Singapore
- Italy
- Luxembourg
- Switzerland
- Japan
- Finland
- Romania
- Czech
- United Arab Emirates
- Croatia
- Estonia
- China
- Greece
- Ireland
- New Zealand
- Brazil
- Latvia
- Saudi Arabia
- Slovenia
- Andorra
- India
- Malta
- Morocco
- Slovakia
- Vietnam
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Science
- Biology
- Business
- Education
- Mathematics
- Materials Science
- Psychology
- Arts and Literature
- Social Sciences
- Chemistry
- Linguistics
- Electrical Engineering
- Law
- Sports and Recreation
- Environment
- Earth Sciences
- Humanities
- Physics
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with
-
for their final course assignment. Estimated course enrolment: 95 students Estimated TA support: 35-hours Class schedule: Lecture: Thursdays 2-5pm (in-person) TBC *The delivery method for this course is expected
-
will be drawn from Canadian government policy developments and budgets during the session. Estimated course enrolment: 25 students Estimated TA support: N/A Class schedule: Thursdays 10am-1pm
-
Vacancy: Yes Description: Course number and title:MIE320H1 - Mechanics of Solids II Course description: Three-dimensional stress transformation, strain energy, energy methods, finite element method
-
starting on day one 401(k) retirement plan A work environment that values dedication, learning, and work-life balance Benefits Overview: https://employment.utah.edu/benefits/ Parking Information: https
-
) Computer user skills (mandatory) Excellent command of English (mandatory) Ability to work in a team (mandatory) Professional skills: Development of ab initio methods (optional) Methodological skills: Python
-
/representation. Software development: ability to design and implement both exact (e.g., decomposition methods) and approximate solution approaches for large-scale optimization problems. A good command of English
-
research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and
-
dentition and 3D topography; VL also pioneered the development of 3D topographic methods at PALEVOPRIM. Expected results Expected outcomes include estimating the strength of phylogenetic signal for various
-
. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are seeking a full-time Senior