Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Inria, the French national research institute for the digital sciences
- Eindhoven University of Technology (TU/e)
- NTNU Norwegian University of Science and Technology
- Graz University of Technology
- Monash University
- CNRS
- Durham University
- Forschungszentrum Jülich
- Grenoble INP - Institute of Engineering
- Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS)
- Leiden University
- Newcastle University
- Norwegian University of Life Sciences (NMBU)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- Agencia Estatal Consejo Superior de Investigaciones Científicas
- BI Norwegian Business School
- CMU Portugal Program - FCT
- Faculdade de Ciências e Tecnologia
- Foundation for Research and Technology
- Foundation for Research and Technology-Hellas
- Georgia Southern University
- ICN2
- Instituto de Telecomunicações
- KU LEUVEN
- Karl Landsteiner University of Health Sciences
- Karlsruhe Institute of Technology •
- Luxembourg Institute of Science and Technology
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institutes
- Murdoch University
- Newcastle University;
- Personalabteilung der Montanuniversität Leoben
- Poznan University of Medical Sciences
- Queensland University of Technology
- Rochester Institute of Technology
- Swinburne University of Technology
- Technical University Of Denmark
- The Ohio State University
- The University of Chicago
- UCL
- UNIVERSITY OF HELSINKI
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University Muenster
- University of Birmingham
- University of California Irvine
- University of Groningen
- University of Luxembourg
- University of Warwick
- Università degli Studi di Pavia
- Vrije Universiteit Brussel
- Wageningen University & Research
- Łukasiewicz Research Network - Krakow Institute of Technology
- 46 more »
- « less
-
Field
-
electrophysiology The student will join a highly collaborative environment involving clinicians, engineers, mathematicians, and computer scientists, with access to unique clinical datasets and state-of-the-art
-
will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
-
to identify key parameters influencing stope stability and dimensioning. Evaluate traditional empirical design methods and quantify their limitations in heterogeneous or structurally complex rock masses
-
10 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Engineering » Computer engineering Researcher Profile First
-
, or space systems, combined with an interest in communication networks. Applied Physics or Physics, particularly if you enjoy applying fundamental concepts to real-world engineering challenges. Computer
-
are developing scalable prototypes of a quantum computer and a secure quantum internet. We believe quantum technology will be a game changer in many social and economic sectors - including health, agriculture
-
learning activities in courses related to communications and networking Required selection criteria You must have a relevant master’s degree in wireless communications and mobile networks, computer networks
-
develop quantitative methods to estimate effects on infrastructure degradation, maintenance needs, operational risk, punctuality and costs. The aim is to develop and validate a practical, transparent
-
other components. The PhD candidate will link TrainGate detections and early warnings with maintenance, incident, operational and cost data and develop quantitative methods to estimate effects
-
with the same information and operational constraints. The project will also explore how AI can be used to approximate, accelerate, contextualize, or enhance optimization, for example by learning future