Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Netherlands
- Belgium
- United Arab Emirates
- Sweden
- Switzerland
- Norway
- Portugal
- Denmark
- Austria
- France
- Luxembourg
- Poland
- Romania
- Australia
- Greece
- Hong Kong
- Spain
- Canada
- Estonia
- Singapore
- Finland
- Malta
- Saudi Arabia
- Italy
- Andorra
- Brazil
- China
- Cyprus
- Taiwan
- 22 more »
- « less
-
Program
-
Field
-
Institut des Hautes Études Scientifiques | Bures sur Yvette, le de France | France | about 15 hours ago
Description IHES is advertising one (2+1)-year post-doctoral position in theoretical and/or mathematical physics with a starting date in fall 2026. Successful candidate will work with Prof. Slava Rychkov
-
Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse
-
deployment and post-training of foundation/large models”. He/She will be required to: (a) model quantum computing platforms; (b) design quantum networks and compilation algorithms; (c) evaluate
-
cutting-edge systems design, AI at the edge, optimization, and shaping future mobile networks, this is your chance to dive in. A strong focus will lie on the development of optimization algorithms
-
monitoring of patients with primary adrenal insufficiency (DC1) Location: Haukeland University Hospital (HUH) and University of Bergen (UiB), Norway Supervisors: Prof. Marianne Øksnes , Prof. Walter Karlen
-
Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
Develop and implement novel AI models and learning algorithms for multimodal and generative modeling. Collaborate with neuroscientists, clinicians, and AI researchers on interdisciplinary problems involving
-
Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
Develop and implement novel AI models and learning algorithms for multimodal and generative modeling. Collaborate with neuroscientists, clinicians, and AI researchers on interdisciplinary problems involving
-
or incomplete. Information Your tasks will include: Developing and benchmarking ML/AI algorithms tailored to low-data regimes — e.g. few-shot learning, transfer learning or data-efficient representation learning
-
further developing algorithms and writing an application to develop a wearable device functionality for monitoring patient behavior monitoring based on the gained insights. We value candidates who: have
-
& Quantum Algorithms Prof. Pilkyung Moon (NYU Shanghai) – Graphene, Twistronics, Novel Topological Materials Website of our team https://sites.google.com/view/sm-cheon-group-homepage/home https