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
-
/machine-learning-for-integrative-genomics/ The HUB : https://research.pasteur.fr/en/team/bioinformatics-and-biostatistics-hub/ Degree : PhD in computer science, computational biology, bioinformatics
-
robotic arms and performing software and hardware integration Mentor and Advise PhD thesis within the research group. Current topics include, reinforcement learning for tactile-aware manipulation skills
-
quantum physics , Physics-informed machine learning , Quantum chaos and thermalization , Quantum Computation , Quantum Computing , Quantum Condensed Matter Theory , Quantum criticality and phase transitions
-
application and machine learning. • Author of at least 2 research papers in topics related to the project. • Knowledge on advanced control systems and optimization (please attach a description of your
-
or professor positions. Required Qualifications: Applicants must have received a PhD in electrical engineering, computer engineering, mechanical engineering, material science, applied physics, or a related field
-
Role: Assistant Professor in Mathematics and Digital Learning Grade and Salary: Grade 7, £37,694 - £47,389 per annum FTE and working pattern: 1FTE, 35hrs per week, Monday – Friday Contract: 24
-
, network analysis, or machine learning are a plus Good organisational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing to a
-
Job related to staff position within a Research Infrastructure? No Offer Description PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1
-
20 Feb 2026 Job Information Organisation/Company Centrale Supelec Department L2S Research Field Engineering » Communication engineering Researcher Profile First Stage Researcher (R1) Positions PhD
-
-based transfer learning classification model for two-class motor imagery brain-computer interface. International Journal of Neural Systems (IJNS). https://doi.org/10.1142/S0129065719500254 * Kudithipudi