Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United Kingdom
- United States
- Germany
- Netherlands
- Belgium
- United Arab Emirates
- Switzerland
- Portugal
- Sweden
- Norway
- Austria
- Denmark
- France
- Australia
- Canada
- Luxembourg
- Finland
- Poland
- Romania
- Singapore
- Estonia
- Hong Kong
- Malta
- Italy
- Saudi Arabia
- Brazil
- China
- Spain
- Andorra
- Ireland
- Israel
- Slovenia
- 22 more »
- « less
-
Program
-
Field
-
supervision/coordination of the grant: Prof. Rui Paulo Pinto da Rocha IV - Work Plan / Goals to be achieved: 1. Design and implementation of local control laws to enable emergent swarm behaviors for deploying a
-
position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms
-
Prof. Alan Mislove, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design
-
vision and work on the lab website (huda-lab.github.io). HuDa lab examines data and decision-making from a tooling and systems-building perspective[1] . You can learn more about the lab’s PI, Prof Azza
-
research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive
-
Postdoctoral Researcher position in the Communication Systems (COS) Division at KTH led by Prof. Emil Björnson. The position is part of the international research project 6GSTAR, which involves KTH, Northeastern
-
methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
-
. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
-
21 Aug 2025 Job Information Organisation/Company University of Southern Denmark Department The research group in Algorithmic Cheminformatics at the Department of Mathematics and Computer
-
Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration