Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- France
- Netherlands
- Denmark
- Belgium
- Portugal
- Singapore
- Spain
- China
- United Arab Emirates
- Australia
- Hong Kong
- Switzerland
- Canada
- Luxembourg
- Poland
- Austria
- Italy
- Estonia
- Czech
- Finland
- Ireland
- Lithuania
- Cyprus
- Romania
- South Africa
- New Zealand
- Andorra
- Brazil
- Latvia
- Saudi Arabia
- Armenia
- Greece
- India
- Japan
- Morocco
- Bulgaria
- Croatia
- Europe
- Iceland
- Israel
- Malta
- Slovenia
- Worldwide
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Chemistry
- Arts and Literature
- Electrical Engineering
- Humanities
- Linguistics
- Education
- Business
- Environment
- Social Sciences
- Earth Sciences
- Design
- Psychology
- Physics
- Sports and Recreation
- Law
- Philosophy
- 14 more »
- « less
-
of computational methods that enable machines to perform tasks requiring perception, learning, reasoning, and decision-making. It encompasses core areas such as machine learning, data-driven modeling, intelligent
-
Chemical Engineering, Materials Science, or a related field The candidate should have a background in at least one of the following areas: quantum mechanics, molecular simulation, and machine learning
-
27 Feb 2026 Job Information Organisation/Company Fondazione Bruno Kessler Department Unità People Innovation Research Field Technology » Computer technology Researcher Profile Recognised Researcher
-
Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
-
systems, manufacturing systems, supply chain systems, and transportation systems. Our faculty performs methodological research in data analytics, machine learning, human systems engineering, optimization
-
the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
-
SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
(as machine learning techniques, etc.). Personal characteristics In the evaluation of which candidate is best qualified for the PhD position, emphasis will be placed on education, experience and
-
, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
-
specialised expertise in the Machine Learning for Engineering sub-theme. Candidates from all areas in machine learning are encouraged to apply, with a special focus on the areas of (i) information theory and
-
: Development of ML-based tools for analysis and engineering protein dynamics PhD enrolment: Czech Technical University in Prague DC14: Machine learning for Empirical Valence Bond (EVB) simulations to engineer