Sort by
Refine Your Search
-
Country
-
Employer
- Eindhoven University of Technology (TU/e)
- Chalmers University of Technology
- Linköping University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Aarhus University
- George Washington University
- Ghent University
- Inria, the French national research institute for the digital sciences
- Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences
- Leiden University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Oak Ridge National Laboratory
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Santa Clara University
- Stanford University
- UNIVERSITY OF HELSINKI
- Umeå University
- University of Warsaw
- University of Washington
- 10 more »
- « less
-
Field
-
scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by enabling foundation models to efficiently specialise through the exploitation of structure
-
researcher, your responsibilities will include: Optimizing, and running head-fixed mouse behavioural tasks for harm-aversion and self-fear. Acquiring and analysing functional ultrasound imaging data from ACC
-
packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
-
need crafting among adults, university students, and secondary school students. Need crafting refers to a construct within Self-Determination Theory that captures individuals' proactive capacity
-
self-reactivity. Despite their importance, we still do not understand why adaptive immunity evolved, why it has evolved independently multiple times, or why some species have subsequently lost it. In
-
our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. About IWRI: UM6P-IWRI
-
and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
-
scheduling Take a position of leadership for day-to-day laboratory operations while addressing all of ORNL’s environmental health and safety requirements Self-assess experimental research skill set and
-
packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
-
functions and how these metabolic adaptations may be targeted therapeutically. Our research employs cell signaling and metabolism, fibroblast-immune cell crosstalk, metabolomics, mitochondrial biology