Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Portugal
- Spain
- Netherlands
- Belgium
- Denmark
- Singapore
- Poland
- Australia
- Norway
- Canada
- United Arab Emirates
- Luxembourg
- Austria
- Italy
- Switzerland
- Morocco
- Finland
- China
- Czech
- Ireland
- Romania
- Croatia
- Hong Kong
- Greece
- New Zealand
- Bulgaria
- Cyprus
- Estonia
- Japan
- Latvia
- Lithuania
- Slovenia
- Vietnam
- Worldwide
- Barbados
- Brazil
- India
- Israel
- Kenya
- Kuwait
- Malta
- Saudi Arabia
- Slovakia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Business
- Biology
- Science
- Materials Science
- Education
- Mathematics
- Arts and Literature
- Chemistry
- Law
- Social Sciences
- Humanities
- Psychology
- Electrical Engineering
- Earth Sciences
- Environment
- Linguistics
- Philosophy
- Design
- Sports and Recreation
- Physics
- Statistics
- 15 more »
- « less
-
/Machine Translation. Practical experience using a wide range of technologies, including: Neural Machine Translation (NMT), LLMs, Computer-Assisted Translation tools, eye-tracking, Automatic Speech
-
partners across the aerospace industry. BladeUp aims to transform wind turbine blade design and manufacturing using advanced modelling, machine learning and high-performance simulation, while Gradient Shells
-
the molecular mechanisms of ATP-dependent AAA proteolytic machines, both soluble and membrane-spanning, and their accessory factors in bacterial and mitochondrial systems. We study how these complexes assemble
-
and machines, and the use of small hand and power tools or equipment in planting, cultivating, and trimming grounds and landscaping. ESSENTIAL FUNCTIONS: • Performs tasks common to the care of grounds
-
employ hydrodynamic and/or Fokker-Planck codes to simulate the initial plasma expansion leading to the creation of the HOFI channel. Setting up a simulation chain integrating these different tools will be
-
or industry equivalent work at a computing facility, or using/managing HPC resources Experience working with large scale machine learning models Experience with performance optimization, debugging, and
-
tools such as scientific computing, High Performance Computing (HPC), Big Data (Spark, DBMS), Machine Learning, cloud computing services (AWS, Azure, GCP), Massive Parallelism paradigms (MPI, OpenACC
-
computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving
-
programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ PREFERRED ATTRIBUTES Master’s degree preferred. Experience working in academic medicine or healthcare preferred. Familiarity
-
, forensic science, crime prevention, technology and law to provide students with the necessary skills to control crime as well as to conduct investigations of crimes committed on a computer or at a crime