Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Sweden
- France
- Norway
- Netherlands
- Spain
- United Kingdom
- China
- Italy
- Denmark
- Belgium
- Austria
- Finland
- Poland
- Hong Kong
- Singapore
- Japan
- Portugal
- Canada
- Ireland
- United Arab Emirates
- Czech
- Morocco
- Switzerland
- Australia
- Andorra
- Armenia
- Brazil
- Cyprus
- Greece
- Lithuania
- Luxembourg
- Mexico
- Romania
- Saudi Arabia
- Uzbekistan
- 27 more »
- « less
-
Program
-
Field
-
communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
-
facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
-
8 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Physique des Particules de Marseille Research Field Mathematics History » History of science Researcher Profile First Stage
-
for the detection of ice in the fire plume. The planned co-supervision includes experts from electromagnetic propagation, mathematical optimization, and wildfire modeling, and guarantees that the topic is covered in
-
recognized for their research in a variety of fields, including polymer science, cosmology, mathematical finance, and neuroscience. The Compact Muon Solenoid (CMS) group in the Physics Department is seeking a
-
exponentially more efficient calculations than conventional computers. This would revolutionize fields that involve optimization, modeling and simulation, cryptography, and AI. However, realizing this potential
-
Description The PhD researcher will work on the Inventory-Routing Problem with Pickups and Deliveries (IRP-PD) under demand and supply uncertainty. The IRP-PD requires the joint optimization of inventory and
-
(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
-
of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
implementation of advanced algorithms, including variational and optimization-based approaches # Investigation and adaptation of mathematical methods in hybrid classical–quantum computing contexts # Documentation