Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Netherlands
- Denmark
- Norway
- Belgium
- Portugal
- France
- Spain
- United Arab Emirates
- Switzerland
- Australia
- Singapore
- Poland
- China
- Austria
- Luxembourg
- Hong Kong
- Finland
- Vietnam
- Italy
- Canada
- Estonia
- Morocco
- Romania
- Czech
- Ireland
- Cyprus
- India
- Lithuania
- South Africa
- Brazil
- Croatia
- Greece
- Latvia
- New Zealand
- Andorra
- Japan
- Saudi Arabia
- Slovenia
- Armenia
- Bulgaria
- Israel
- Kenya
- Malta
- Worldwide
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Mathematics
- Chemistry
- Materials Science
- Electrical Engineering
- Arts and Literature
- Education
- Humanities
- Business
- Environment
- Earth Sciences
- Social Sciences
- Linguistics
- Psychology
- Design
- Philosophy
- Physics
- Law
- Sports and Recreation
- 14 more »
- « less
-
(Python or C/C++) with experience in systems engineering and software development. Solid knowledge of both basic and modern methods in machine learning, NLP and computer vision, including supervised and
-
application to: Prof Serkan Turkmen serkan.turkmen@taltech.ee Where to apply Website https://academicpositions.com/ad/tallinn-university-of-technology/2026/phd-posi… Requirements Research FieldComputer
-
23 Jan 2026 Job Information Organisation/Company IMT Atlantique Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
-
is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
-
modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
-
learning, granular computing and knowledge discovery, machine learning, deep learning, and specifically interpretable artificial intelligence. Many innovative contributions have been achieved in theory
-
storage, but their widespread deployment is limited by challenges in energy density, stability, solubility, and cost of electroactive redox compounds. The PhD candidate will develop and apply machine
-
Project Overview We are hiring highly motivated and talented Postdoctoral Associates who are interested in advancing the state of the art in resource-efficient machine learning at the Singapore-MIT
-
science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
-
. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or