Sort by
Refine Your Search
-
Country
-
Field
- Computer Science
- Biology
- Engineering
- Mathematics
- Chemistry
- Economics
- Medical Sciences
- Materials Science
- Science
- Humanities
- Arts and Literature
- Electrical Engineering
- Business
- Environment
- Psychology
- Earth Sciences
- Linguistics
- Education
- Physics
- Social Sciences
- Law
- Sports and Recreation
- 12 more »
- « less
-
should demonstrate strong motivation to learn these methods, Ability to work independently as well as collaboratively in a team environment, Proficiency in English (the project involves collaboration with
-
-Scandinavian candidates, an effort to learn to read, write, and speak Danish is a requirement. Contact Further information on the position may be obtained from Professor Jan Værum Nørgaard, phone: +4550718795
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
environments. To achieve this, novel alignment and editing techniques are required. Specifically, post-training with Reinforcement Learning (RL) presents a highly promising methodology to overcome
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
team. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10273 Requirements Skills/Qualifications Technical skills and level required: Mechanical/robotic system design and control
-
will also have good opportunities to learn from and socialize with other postdoctoral fellows at the department. For more information about the department or division visit: https://www.slu.se/om-slu
-
boson decays, searches for supersymmetry and other new phenomena, and measurements of rare standard model processes. We vigorously pursue the use of machine learning techniques for data analysis
-
Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about
-
of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
-
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
-
of programming and implementing both back- and front-end solutions, using (open source) APIs. Evidence of being able to acquire additional funding (projects/scholarships) is a strong plus. You are willing to work