Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Canada
- Portugal
- Netherlands
- France
- Germany
- Australia
- Sweden
- Poland
- Spain
- Norway
- Singapore
- Belgium
- United Arab Emirates
- Denmark
- Italy
- Switzerland
- Austria
- Luxembourg
- Romania
- Japan
- China
- Czech
- Finland
- Morocco
- Slovenia
- Croatia
- Bulgaria
- Estonia
- Greece
- Hong Kong
- Ireland
- Lithuania
- Mexico
- New Zealand
- Saudi Arabia
- Slovakia
- South Africa
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Biology
- Business
- Science
- Education
- Materials Science
- Mathematics
- Psychology
- Social Sciences
- Arts and Literature
- Chemistry
- Environment
- Humanities
- Law
- Linguistics
- Earth Sciences
- Electrical Engineering
- Sports and Recreation
- Design
- Philosophy
- Physics
- Statistics
- 15 more »
- « less
-
a EU programme Reference Number BAP-2026-631 Is the Job related to staff position within a Research Infrastructure? No Offer Description There are a lot of algorithms to approximate high-dimensional
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
initiative between two Inria research teams: Gamble (Inria Nancy) and Ouragan (Inria Paris), in collaboration with the ANR StratMesh project. The objective is to develop new methods and reliable visualization
-
Course Description & Learning Objectives: Bayesian methods are important tools for applied statisticians, biostatisticians, and data scientists. They provide a flexible framework for quantifying
-
is. This position will develop the estimation and control methods these missions need and test them on real robots. The research will focus on one or more of the following areas. - Radar-inertial SLAM
-
Responsibilities Quantitative method development and computational modeling (45%) -Develop, implement, evaluate, and advance computational approaches for estimating spatially and temporally resolved air-pollutant
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days ago
: Course Number and Title: STA380H5S LEC101 Computational Statistics Course Description: Computational methods play a central role in modern statistics and machine learning. This course aims to give an
-
System CME498 Electronic Design Automation To Apply: Interested applicants must complete the Electrical and Computer Engineering Application which can be found at: https://www.surveymonkey.ca/r/KK6PXS5
-
prepares materials and tests for A-State Jonesboro faculty Schedules testing appointments, proctors tests and returns exams by various methods Recruits, hires, schedules, and supervises work-study students
-
machines(CNC) and computer aided design (CAD/CAM) to produce custom machined and fabricated components. Demonstrate a strong understanding of modern machining and work holding methods. Experience with
-
grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Dr Yingzhen Li (https://yingzhenli.net ) and her research group