Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- France
- Belgium
- Denmark
- Netherlands
- Portugal
- Singapore
- Spain
- United Arab Emirates
- Australia
- China
- Hong Kong
- Switzerland
- Luxembourg
- Poland
- Canada
- Italy
- Austria
- Estonia
- Czech
- Ireland
- Cyprus
- Finland
- Romania
- Latvia
- South Africa
- Lithuania
- New Zealand
- Andorra
- India
- Saudi Arabia
- Armenia
- Brazil
- Israel
- Japan
- Morocco
- Worldwide
- Bulgaria
- Croatia
- Europe
- Greece
- Iceland
- Malta
- Slovenia
- Vietnam
- 39 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Chemistry
- Arts and Literature
- Electrical Engineering
- Humanities
- Business
- Linguistics
- Social Sciences
- Education
- Environment
- Earth Sciences
- Design
- Physics
- Psychology
- Sports and Recreation
- Law
- Philosophy
- 14 more »
- « less
-
and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
-
: https://taltech.ee/en/estonian-maritime-academy Address: Estonia, Harju County, Tallinn, Kopli 101 Where to apply Website https://academicpositions.com/ad/tallinn-university-of-technology/2026/assistan
-
-driven or machine learning techniques relevant in the context of engineering Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently in a
-
Computer Science, Electrical/Electronics Engineering, Data Science, Cyber-Physical Systems, or a closely related discipline. Machine Learning & Data Processing: You have solid experience developing and applying
-
profile and an interest in developing new AI models for high-dimensional biological data. You should have a solid foundation in areas such as machine learning, applied mathematics, statistics
-
teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
-
teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
-
of: • machine learning • cybersecurity • distributed systems • privacy-enhancing technologies The research will be carried out within the (team name) at LS2N, focusing on trustworthy AI and cybersecurity
-
engineering Engineering » Communication engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 20 Apr 2026 - 23:59 (Europe/Warsaw) Country Poland Type
-
Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model