Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Netherlands
- France
- Norway
- Belgium
- Denmark
- Spain
- Portugal
- Switzerland
- United Arab Emirates
- Australia
- Poland
- Austria
- Singapore
- China
- Canada
- Hong Kong
- Luxembourg
- Finland
- Vietnam
- Czech
- Italy
- Ireland
- Morocco
- Romania
- Estonia
- Cyprus
- India
- Latvia
- Andorra
- Croatia
- Lithuania
- New Zealand
- South Africa
- Greece
- Slovenia
- Ukraine
- Brazil
- Chile
- Japan
- Worldwide
- Armenia
- Barbados
- Bulgaria
- Hungary
- Indonesia
- Israel
- Kenya
- Malta
- Qatar
- Taiwan
- 44 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Chemistry
- Social Sciences
- Arts and Literature
- Business
- Psychology
- Humanities
- Education
- Materials Science
- Earth Sciences
- Electrical Engineering
- Linguistics
- Environment
- Law
- Physics
- Design
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
of Aberdeen to work on a project “Predicting Response in Triple Negative Breast Cancer Using Machine Learning”. We seek to appoint a creative and motivated individual to use machine learning (ML) to identify
-
student research worker to support AI and machine learning research in cardiovascular health informatics. The position involves working with both structured and unstructured electronic health records (EHR
-
Description REALISE - Bridging Igneous Petrology and Machine Learning for Science and Society About the REALISE Doctoral Network REALISE will train 15 Doctoral Candidates at the interface of igneous petrology
-
(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
-
Molecular Biotechnology (IPMB) of Heidelberg University is offering a 3-year full-time (100%; 39,5 h/week) postdoc position in Multiomics Data Integration and Machine-Learning for therapy response prediction
-
plate array microscope for simultaneous time-lapse video microscopy, enabling high-throughput single-cell analyses of rapidly migrating cells. You will be responsible for Developing new machine learning
-
spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled
-
, and training methods - across multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning
-
, and advanced machine learning in the engineering domain. Generative AI substantially changes the way engineers interact with and benefit from AI and access domain-specific knowledge, marking a phase
-
second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https