Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Nature Careers
- Technical University of Denmark
- Forschungszentrum Jülich
- Technical University of Munich
- DAAD
- Monash University
- Curtin University
- Ghent University
- University of Groningen
- ;
- Leiden University
- University of Adelaide
- University of Nottingham
- Vrije Universiteit Brussel
- ; Swansea University
- Chalmers University of Technology
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Umeå University
- University of Cambridge
- University of Luxembourg
- University of Southern Denmark
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Exeter
- Aalborg University
- Aarhus University
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Imperial College London
- Leibniz
- Susquehanna International Group
- University of Antwerp
- University of Southern Queensland
- University of Twente
- ; Brunel University London
- ; Newcastle University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Leeds
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- CNRS
- CSIRO
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Deutsches Elektronen-Synchrotron DESY •
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- Harper Adams University
- Heraeus Covantics
- ISCTE - Instituto Universitário de Lisboa
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institute of Physical Chemistry, Polish Academy of Sciences
- KU LEUVEN
- La Trobe University
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Leiden University; Leiden
- Lulea University of Technology
- Masaryk University - Faculty of Science – RECETOX
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- McGill University
- National Renewable Energy Laboratory NREL
- Purdue University
- Queensland University of Technology
- Radboud University
- Radboud University Medical Center (Radboudumc); Nijmegen
- TU Dresden
- Technical University of Denmark;
- The University of Iowa
- The University of Manchester;
- University of Bern
- University of Birmingham;
- University of Bremen •
- University of Bristol
- University of Copenhagen
- University of Glasgow
- University of Minnesota
- University of Minnesota Twin Cities
- University of Nebraska–Lincoln
- University of Oslo
- University of Potsdam •
- University of Texas at Austin
- University of Twente (UT)
- University of Twente (UT); Enschede
- Università degli Studi di Sassari
- Université Laval
- Uppsala universitet
- Utrecht University
- VIB
- Wageningen University and Research Center
- 86 more »
- « less
-
Field
-
development over the last two decades. This research topic aims to define novel approaches to developing and combining these intelligences, utilizing both 1st and 2nd wave AI approaches, in the context
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
-
this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
-
. The project focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how
-
, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
-
full-time PhD candidate on the topic of “Automatic Recognition of building attributes” About us The TUM-Professorship for Data Science in Earth Observation develops innovative methods for information
-
learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application
-
these resources. By using data integration, AI, and international platforms like GBIF and LifeWatch, the project supports taxonomic advancement. This PhD research will develop bioinformatics tools to find type
-
collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine