Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Birmingham
- University of Oslo
- Zintellect
- Harvard University
- University of Algarve
- Centro de Engenharia Biológica da Universidade do Minho
- University of Bergen
- University of London
- Auburn University
- CEPS
- City of Hope
- FCiências.ID
- Faculdade de Ciências Sociais e Humanas
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- London School of Hygiene & Tropical Medicine;
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- Nova School of Business and Economics
- State research institute Center for Physical Sciences and Technology
- The University of Queensland
- Universidade Católica Portuguesa
- University of California
- University of Glasgow
- University of Manchester
- University of Minho
- University of Southern Denmark
- 17 more »
- « less
-
Field
-
association or cooperation with one or more R&D units.” 3. Project Objectives: Development and control of sustainable energy systems using artificial cognitive intelligence. 4. Applicable Legislation and
-
-500 keV range. Identification of emerging competitive accelerator or source technologies or with consideration of both performance and cost. Application of AI to accelerator control and feedback systems
-
collaborative research to develop knowledge bases of the behavior, ecology, physiology, and genetics of invasive insect pests and their natural enemies for development of effective biological control strategies
-
complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control
-
. This BBSRC (sLoLa) - funded post is established to study the semantic rules of developmental gene expression control. The post holder will be part of a multi-disciplinary consortium team (6 institutions in
-
, instrumentation control, or feedback systems. Demonstrated ability to design, fabricate, operate, troubleshoot, and repair laboratory equipment, including custom-built or high-temperature/high-pressure systems
-
to Defence applications – through engagement, UK space command and NATO (ii) similar alignment to civil applications – through existing projects (iii) operational implementation & outreach through a project
-
Denmark and Sweden. In this context, the present PhD Research Fellow will contribute to the DSQS by focusing on formation and identification of quantum defects. The work of the PhD Research Fellow will be
-
, the successful applicant will work, together with the team, on online software for control and monitoring of the trigger, with performance studies. The Particle Physics group currently has 12 academic staff, 17
-
autonomous robotic systems; •Proven knowledge of control architectures for cognitive robotic systems (preferably based on nonlinear dynamical systems in the form of neural dynamic fields); •Experience in